qunash
/
circassian-culture-flux-3000-steps
A FLUX.1 model fine-tuned on Circassian culture images
- Public
- 733 runs
-
H100
Prediction
qunash/circassian-culture-flux-3000-steps:bf772d87d563c647335dd4bdf50ca56ee5ced4fe55bf0e8ed3d7f874303ae688IDn0mkfad1h5rm20chcpsrmzxfmgStatusSucceededSourceWebHardwareH100Total durationCreatedInput
- model
- dev
- prompt
- Illustration of a Circassian woman in traditional attire, floating weightlessly in space. Her ornate fasha dress billows and flows dramatically in zero gravity. Long braids and coat tails drift freely. Pitch-black backdrop dotted with twinkling stars. Ethereal, dreamlike quality with vibrant colors contrasting the dark void.
- lora_scale
- 1
- num_outputs
- 4
- aspect_ratio
- 1:1
- output_format
- webp
- guidance_scale
- 3.5
- output_quality
- 80
- num_inference_steps
- 50
{ "model": "dev", "prompt": "Illustration of a Circassian woman in traditional attire, floating weightlessly in space. Her ornate fasha dress billows and flows dramatically in zero gravity. Long braids and coat tails drift freely. Pitch-black backdrop dotted with twinkling stars. Ethereal, dreamlike quality with vibrant colors contrasting the dark void.", "lora_scale": 1, "num_outputs": 4, "aspect_ratio": "1:1", "output_format": "webp", "guidance_scale": 3.5, "output_quality": 80, "num_inference_steps": 50 }Install Replicate’s Node.js client library:npm install replicateImport and set up the client:import Replicate from "replicate"; const replicate = new Replicate({ auth: process.env.REPLICATE_API_TOKEN, });Run qunash/circassian-culture-flux-3000-steps using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.
const output = await replicate.run( "qunash/circassian-culture-flux-3000-steps:bf772d87d563c647335dd4bdf50ca56ee5ced4fe55bf0e8ed3d7f874303ae688", { input: { model: "dev", prompt: "Illustration of a Circassian woman in traditional attire, floating weightlessly in space. Her ornate fasha dress billows and flows dramatically in zero gravity. Long braids and coat tails drift freely. Pitch-black backdrop dotted with twinkling stars. Ethereal, dreamlike quality with vibrant colors contrasting the dark void.", lora_scale: 1, num_outputs: 4, aspect_ratio: "1:1", output_format: "webp", guidance_scale: 3.5, output_quality: 80, num_inference_steps: 50 } } ); // To access the file URL: console.log(output[0].url()); //=> "http://example.com" // To write the file to disk: fs.writeFile("my-image.png", output[0]);To learn more, take a look at the guide on getting started with Node.js.
Install Replicate’s Python client library:pip install replicateImport the client:import replicateRun qunash/circassian-culture-flux-3000-steps using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.
output = replicate.run( "qunash/circassian-culture-flux-3000-steps:bf772d87d563c647335dd4bdf50ca56ee5ced4fe55bf0e8ed3d7f874303ae688", input={ "model": "dev", "prompt": "Illustration of a Circassian woman in traditional attire, floating weightlessly in space. Her ornate fasha dress billows and flows dramatically in zero gravity. Long braids and coat tails drift freely. Pitch-black backdrop dotted with twinkling stars. Ethereal, dreamlike quality with vibrant colors contrasting the dark void.", "lora_scale": 1, "num_outputs": 4, "aspect_ratio": "1:1", "output_format": "webp", "guidance_scale": 3.5, "output_quality": 80, "num_inference_steps": 50 } ) print(output)To learn more, take a look at the guide on getting started with Python.
Run qunash/circassian-culture-flux-3000-steps using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.
curl -s -X POST \ -H "Authorization: Bearer $REPLICATE_API_TOKEN" \ -H "Content-Type: application/json" \ -H "Prefer: wait" \ -d $'{ "version": "qunash/circassian-culture-flux-3000-steps:bf772d87d563c647335dd4bdf50ca56ee5ced4fe55bf0e8ed3d7f874303ae688", "input": { "model": "dev", "prompt": "Illustration of a Circassian woman in traditional attire, floating weightlessly in space. Her ornate fasha dress billows and flows dramatically in zero gravity. Long braids and coat tails drift freely. Pitch-black backdrop dotted with twinkling stars. Ethereal, dreamlike quality with vibrant colors contrasting the dark void.", "lora_scale": 1, "num_outputs": 4, "aspect_ratio": "1:1", "output_format": "webp", "guidance_scale": 3.5, "output_quality": 80, "num_inference_steps": 50 } }' \ https://api.replicate.com/v1/predictionsTo learn more, take a look at Replicate’s HTTP API reference docs.
Output
{ "completed_at": "2024-08-18T13:37:41.042809Z", "created_at": "2024-08-18T13:35:56.809000Z", "data_removed": false, "error": null, "id": "n0mkfad1h5rm20chcpsrmzxfmg", "input": { "model": "dev", "prompt": "Illustration of a Circassian woman in traditional attire, floating weightlessly in space. Her ornate fasha dress billows and flows dramatically in zero gravity. Long braids and coat tails drift freely. Pitch-black backdrop dotted with twinkling stars. Ethereal, dreamlike quality with vibrant colors contrasting the dark void.", "lora_scale": 1, "num_outputs": 4, "aspect_ratio": "1:1", "output_format": "webp", "guidance_scale": 3.5, "output_quality": 80, "num_inference_steps": 50 }, "logs": "Using seed: 16613\nPrompt: Illustration of a Circassian woman in traditional attire, floating weightlessly in space. Her ornate fasha dress billows and flows dramatically in zero gravity. Long braids and coat tails drift freely. Pitch-black backdrop dotted with twinkling stars. Ethereal, dreamlike quality with vibrant colors contrasting the dark void.\ntxt2img mode\nUsing dev model\nLoading LoRA weights\nEnsuring enough disk space...\nFree disk space: 9762134020096\nDownloading weights\n2024-08-18T13:36:30Z | INFO | [ Initiating ] chunk_size=150M dest=/src/weights-cache/41925a20b164b9c8 url=https://replicate.delivery/yhqm/wtXcKcWjsU6cOp1w1M0S5Pa3xxgzfXymMQmF8n3T7NmCz1pJA/trained_model.tar\n2024-08-18T13:36:32Z | INFO | [ Complete ] dest=/src/weights-cache/41925a20b164b9c8 size=\"172 MB\" total_elapsed=1.369s url=https://replicate.delivery/yhqm/wtXcKcWjsU6cOp1w1M0S5Pa3xxgzfXymMQmF8n3T7NmCz1pJA/trained_model.tar\nb''\nDownloaded weights in 1.4009664058685303 seconds\nLoRA weights loaded successfully\n 0%| | 0/50 [00:00<?, ?it/s]\n 2%|▏ | 1/50 [00:00<00:48, 1.00it/s]\n 4%|▍ | 2/50 [00:01<00:41, 1.15it/s]\n 6%|▌ | 3/50 [00:02<00:43, 1.07it/s]\n 8%|▊ | 4/50 [00:03<00:44, 1.04it/s]\n 10%|█ | 5/50 [00:04<00:43, 1.03it/s]\n 12%|█▏ | 6/50 [00:05<00:43, 1.02it/s]\n 14%|█▍ | 7/50 [00:06<00:42, 1.01it/s]\n 16%|█▌ | 8/50 [00:07<00:41, 1.01it/s]\n 18%|█▊ | 9/50 [00:08<00:40, 1.00it/s]\n 20%|██ | 10/50 [00:09<00:39, 1.00it/s]\n 22%|██▏ | 11/50 [00:10<00:38, 1.00it/s]\n 24%|██▍ | 12/50 [00:11<00:38, 1.00s/it]\n 26%|██▌ | 13/50 [00:12<00:37, 1.00s/it]\n 28%|██▊ | 14/50 [00:13<00:36, 1.00s/it]\n 30%|███ | 15/50 [00:14<00:35, 1.00s/it]\n 32%|███▏ | 16/50 [00:15<00:34, 1.00s/it]\n 34%|███▍ | 17/50 [00:16<00:33, 1.01s/it]\n 36%|███▌ | 18/50 [00:17<00:32, 1.01s/it]\n 38%|███▊ | 19/50 [00:18<00:31, 1.01s/it]\n 40%|████ | 20/50 [00:19<00:30, 1.01s/it]\n 42%|████▏ | 21/50 [00:20<00:29, 1.01s/it]\n 44%|████▍ | 22/50 [00:21<00:28, 1.01s/it]\n 46%|████▌ | 23/50 [00:22<00:27, 1.01s/it]\n 48%|████▊ | 24/50 [00:23<00:26, 1.01s/it]\n 50%|█████ | 25/50 [00:24<00:25, 1.01s/it]\n 52%|█████▏ | 26/50 [00:25<00:24, 1.01s/it]\n 54%|█████▍ | 27/50 [00:26<00:23, 1.01s/it]\n 56%|█████▌ | 28/50 [00:27<00:22, 1.01s/it]\n 58%|█████▊ | 29/50 [00:28<00:21, 1.01s/it]\n 60%|██████ | 30/50 [00:29<00:20, 1.01s/it]\n 62%|██████▏ | 31/50 [00:30<00:19, 1.01s/it]\n 64%|██████▍ | 32/50 [00:31<00:18, 1.01s/it]\n 66%|██████▌ | 33/50 [00:32<00:17, 1.01s/it]\n 68%|██████▊ | 34/50 [00:33<00:16, 1.01s/it]\n 70%|███████ | 35/50 [00:34<00:15, 1.01s/it]\n 72%|███████▏ | 36/50 [00:35<00:14, 1.01s/it]\n 74%|███████▍ | 37/50 [00:36<00:13, 1.01s/it]\n 76%|███████▌ | 38/50 [00:38<00:12, 1.01s/it]\n 78%|███████▊ | 39/50 [00:39<00:11, 1.01s/it]\n 80%|████████ | 40/50 [00:40<00:10, 1.01s/it]\n 82%|████████▏ | 41/50 [00:41<00:09, 1.01s/it]\n 84%|████████▍ | 42/50 [00:42<00:08, 1.01s/it]\n 86%|████████▌ | 43/50 [00:43<00:07, 1.01s/it]\n 88%|████████▊ | 44/50 [00:44<00:06, 1.01s/it]\n 90%|█████████ | 45/50 [00:45<00:05, 1.01s/it]\n 92%|█████████▏| 46/50 [00:46<00:04, 1.01s/it]\n 94%|█████████▍| 47/50 [00:47<00:03, 1.01s/it]\n 96%|█████████▌| 48/50 [00:48<00:02, 1.01s/it]\n 98%|█████████▊| 49/50 [00:49<00:01, 1.01s/it]\n100%|██████████| 50/50 [00:50<00:00, 1.01s/it]\n100%|██████████| 50/50 [00:50<00:00, 1.00s/it]", "metrics": { "predict_time": 70.331687002, "total_time": 104.233809 }, "output": [ "https://replicate.delivery/yhqm/dquzOn0sc36lOREt3kgAG0Tjh3DfzR5HBhtLvcfTtbeJZ1nmA/out-0.webp", "https://replicate.delivery/yhqm/H0WadTURCUI5CVpKguMfpT9hx2ISFifxWlmSI2VZB6Fks6TTA/out-1.webp", "https://replicate.delivery/yhqm/L5ifKkgN6JzKEKN3bIBJ6Rg7CrFT6R2lKffihNhgLj5JZ1nmA/out-2.webp", "https://replicate.delivery/yhqm/A0SokiHRfVwyaSfF1fVxaD4XAmdQL44BqgqDB8npWJzIZ1nmA/out-3.webp" ], "started_at": "2024-08-18T13:36:30.711122Z", "status": "succeeded", "urls": { "get": "https://api.replicate.com/v1/predictions/n0mkfad1h5rm20chcpsrmzxfmg", "cancel": "https://api.replicate.com/v1/predictions/n0mkfad1h5rm20chcpsrmzxfmg/cancel" }, "version": "bf772d87d563c647335dd4bdf50ca56ee5ced4fe55bf0e8ed3d7f874303ae688" }Generated inUsing seed: 16613 Prompt: Illustration of a Circassian woman in traditional attire, floating weightlessly in space. Her ornate fasha dress billows and flows dramatically in zero gravity. Long braids and coat tails drift freely. Pitch-black backdrop dotted with twinkling stars. Ethereal, dreamlike quality with vibrant colors contrasting the dark void. txt2img mode Using dev model Loading LoRA weights Ensuring enough disk space... Free disk space: 9762134020096 Downloading weights 2024-08-18T13:36:30Z | INFO | [ Initiating ] chunk_size=150M dest=/src/weights-cache/41925a20b164b9c8 url=https://replicate.delivery/yhqm/wtXcKcWjsU6cOp1w1M0S5Pa3xxgzfXymMQmF8n3T7NmCz1pJA/trained_model.tar 2024-08-18T13:36:32Z | INFO | [ Complete ] dest=/src/weights-cache/41925a20b164b9c8 size="172 MB" total_elapsed=1.369s url=https://replicate.delivery/yhqm/wtXcKcWjsU6cOp1w1M0S5Pa3xxgzfXymMQmF8n3T7NmCz1pJA/trained_model.tar b'' Downloaded weights in 1.4009664058685303 seconds LoRA weights loaded successfully 0%| | 0/50 [00:00<?, ?it/s] 2%|▏ | 1/50 [00:00<00:48, 1.00it/s] 4%|▍ | 2/50 [00:01<00:41, 1.15it/s] 6%|▌ | 3/50 [00:02<00:43, 1.07it/s] 8%|▊ | 4/50 [00:03<00:44, 1.04it/s] 10%|█ | 5/50 [00:04<00:43, 1.03it/s] 12%|█▏ | 6/50 [00:05<00:43, 1.02it/s] 14%|█▍ | 7/50 [00:06<00:42, 1.01it/s] 16%|█▌ | 8/50 [00:07<00:41, 1.01it/s] 18%|█▊ | 9/50 [00:08<00:40, 1.00it/s] 20%|██ | 10/50 [00:09<00:39, 1.00it/s] 22%|██▏ | 11/50 [00:10<00:38, 1.00it/s] 24%|██▍ | 12/50 [00:11<00:38, 1.00s/it] 26%|██▌ | 13/50 [00:12<00:37, 1.00s/it] 28%|██▊ | 14/50 [00:13<00:36, 1.00s/it] 30%|███ | 15/50 [00:14<00:35, 1.00s/it] 32%|███▏ | 16/50 [00:15<00:34, 1.00s/it] 34%|███▍ | 17/50 [00:16<00:33, 1.01s/it] 36%|███▌ | 18/50 [00:17<00:32, 1.01s/it] 38%|███▊ | 19/50 [00:18<00:31, 1.01s/it] 40%|████ | 20/50 [00:19<00:30, 1.01s/it] 42%|████▏ | 21/50 [00:20<00:29, 1.01s/it] 44%|████▍ | 22/50 [00:21<00:28, 1.01s/it] 46%|████▌ | 23/50 [00:22<00:27, 1.01s/it] 48%|████▊ | 24/50 [00:23<00:26, 1.01s/it] 50%|█████ | 25/50 [00:24<00:25, 1.01s/it] 52%|█████▏ | 26/50 [00:25<00:24, 1.01s/it] 54%|█████▍ | 27/50 [00:26<00:23, 1.01s/it] 56%|█████▌ | 28/50 [00:27<00:22, 1.01s/it] 58%|█████▊ | 29/50 [00:28<00:21, 1.01s/it] 60%|██████ | 30/50 [00:29<00:20, 1.01s/it] 62%|██████▏ | 31/50 [00:30<00:19, 1.01s/it] 64%|██████▍ | 32/50 [00:31<00:18, 1.01s/it] 66%|██████▌ | 33/50 [00:32<00:17, 1.01s/it] 68%|██████▊ | 34/50 [00:33<00:16, 1.01s/it] 70%|███████ | 35/50 [00:34<00:15, 1.01s/it] 72%|███████▏ | 36/50 [00:35<00:14, 1.01s/it] 74%|███████▍ | 37/50 [00:36<00:13, 1.01s/it] 76%|███████▌ | 38/50 [00:38<00:12, 1.01s/it] 78%|███████▊ | 39/50 [00:39<00:11, 1.01s/it] 80%|████████ | 40/50 [00:40<00:10, 1.01s/it] 82%|████████▏ | 41/50 [00:41<00:09, 1.01s/it] 84%|████████▍ | 42/50 [00:42<00:08, 1.01s/it] 86%|████████▌ | 43/50 [00:43<00:07, 1.01s/it] 88%|████████▊ | 44/50 [00:44<00:06, 1.01s/it] 90%|█████████ | 45/50 [00:45<00:05, 1.01s/it] 92%|█████████▏| 46/50 [00:46<00:04, 1.01s/it] 94%|█████████▍| 47/50 [00:47<00:03, 1.01s/it] 96%|█████████▌| 48/50 [00:48<00:02, 1.01s/it] 98%|█████████▊| 49/50 [00:49<00:01, 1.01s/it] 100%|██████████| 50/50 [00:50<00:00, 1.01s/it] 100%|██████████| 50/50 [00:50<00:00, 1.00s/it]Prediction
qunash/circassian-culture-flux-3000-steps:bf772d87d563c647335dd4bdf50ca56ee5ced4fe55bf0e8ed3d7f874303ae688IDc8635caxadrm40chje7sxzxhbgStatusSucceededSourceWebHardwareH100Total durationCreatedInput
- model
- dev
- prompt
- 8k, HQ. Realistic. Male cybernetic body with a warrior-like appearance inspired by Circassian man attire. Assassin ninja style titanium armor and matte white inspired by Circassian man attire. Full body profile shot. Background inside the International Space Station. Volumetric light. Wearing a mustard-colored astronaut uniform. Features Kanji and Viking symbols. Body covered in cables and hydraulic and electronic components.
- lora_scale
- 1
- num_outputs
- 4
- aspect_ratio
- 1:1
- output_format
- webp
- guidance_scale
- 3.5
- output_quality
- 80
- num_inference_steps
- 28
{ "model": "dev", "prompt": "8k, HQ. Realistic. Male cybernetic body with a warrior-like appearance inspired by Circassian man attire. Assassin ninja style titanium armor and matte white inspired by Circassian man attire. Full body profile shot. Background inside the International Space Station. Volumetric light. Wearing a mustard-colored astronaut uniform. Features Kanji and Viking symbols. Body covered in cables and hydraulic and electronic components.", "lora_scale": 1, "num_outputs": 4, "aspect_ratio": "1:1", "output_format": "webp", "guidance_scale": 3.5, "output_quality": 80, "num_inference_steps": 28 }Install Replicate’s Node.js client library:npm install replicateImport and set up the client:import Replicate from "replicate"; const replicate = new Replicate({ auth: process.env.REPLICATE_API_TOKEN, });Run qunash/circassian-culture-flux-3000-steps using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.
const output = await replicate.run( "qunash/circassian-culture-flux-3000-steps:bf772d87d563c647335dd4bdf50ca56ee5ced4fe55bf0e8ed3d7f874303ae688", { input: { model: "dev", prompt: "8k, HQ. Realistic. Male cybernetic body with a warrior-like appearance inspired by Circassian man attire. Assassin ninja style titanium armor and matte white inspired by Circassian man attire. Full body profile shot. Background inside the International Space Station. Volumetric light. Wearing a mustard-colored astronaut uniform. Features Kanji and Viking symbols. Body covered in cables and hydraulic and electronic components.", lora_scale: 1, num_outputs: 4, aspect_ratio: "1:1", output_format: "webp", guidance_scale: 3.5, output_quality: 80, num_inference_steps: 28 } } ); // To access the file URL: console.log(output[0].url()); //=> "http://example.com" // To write the file to disk: fs.writeFile("my-image.png", output[0]);To learn more, take a look at the guide on getting started with Node.js.
Install Replicate’s Python client library:pip install replicateImport the client:import replicateRun qunash/circassian-culture-flux-3000-steps using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.
output = replicate.run( "qunash/circassian-culture-flux-3000-steps:bf772d87d563c647335dd4bdf50ca56ee5ced4fe55bf0e8ed3d7f874303ae688", input={ "model": "dev", "prompt": "8k, HQ. Realistic. Male cybernetic body with a warrior-like appearance inspired by Circassian man attire. Assassin ninja style titanium armor and matte white inspired by Circassian man attire. Full body profile shot. Background inside the International Space Station. Volumetric light. Wearing a mustard-colored astronaut uniform. Features Kanji and Viking symbols. Body covered in cables and hydraulic and electronic components.", "lora_scale": 1, "num_outputs": 4, "aspect_ratio": "1:1", "output_format": "webp", "guidance_scale": 3.5, "output_quality": 80, "num_inference_steps": 28 } ) print(output)To learn more, take a look at the guide on getting started with Python.
Run qunash/circassian-culture-flux-3000-steps using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.
curl -s -X POST \ -H "Authorization: Bearer $REPLICATE_API_TOKEN" \ -H "Content-Type: application/json" \ -H "Prefer: wait" \ -d $'{ "version": "qunash/circassian-culture-flux-3000-steps:bf772d87d563c647335dd4bdf50ca56ee5ced4fe55bf0e8ed3d7f874303ae688", "input": { "model": "dev", "prompt": "8k, HQ. Realistic. Male cybernetic body with a warrior-like appearance inspired by Circassian man attire. Assassin ninja style titanium armor and matte white inspired by Circassian man attire. Full body profile shot. Background inside the International Space Station. Volumetric light. Wearing a mustard-colored astronaut uniform. Features Kanji and Viking symbols. Body covered in cables and hydraulic and electronic components.", "lora_scale": 1, "num_outputs": 4, "aspect_ratio": "1:1", "output_format": "webp", "guidance_scale": 3.5, "output_quality": 80, "num_inference_steps": 28 } }' \ https://api.replicate.com/v1/predictionsTo learn more, take a look at Replicate’s HTTP API reference docs.
Output
{ "completed_at": "2024-08-27T11:19:36.307028Z", "created_at": "2024-08-27T11:18:51.987000Z", "data_removed": false, "error": null, "id": "c8635caxadrm40chje7sxzxhbg", "input": { "model": "dev", "prompt": "8k, HQ. Realistic. Male cybernetic body with a warrior-like appearance inspired by Circassian man attire. Assassin ninja style titanium armor and matte white inspired by Circassian man attire. Full body profile shot. Background inside the International Space Station. Volumetric light. Wearing a mustard-colored astronaut uniform. Features Kanji and Viking symbols. Body covered in cables and hydraulic and electronic components.", "lora_scale": 1, "num_outputs": 4, "aspect_ratio": "1:1", "output_format": "webp", "guidance_scale": 3.5, "output_quality": 80, "num_inference_steps": 28 }, "logs": "Using seed: 58489\nPrompt: 8k, HQ. Realistic. Male cybernetic body with a warrior-like appearance inspired by Circassian man attire. Assassin ninja style titanium armor and matte white inspired by Circassian man attire. Full body profile shot. Background inside the International Space Station. Volumetric light. Wearing a mustard-colored astronaut uniform. Features Kanji and Viking symbols. Body covered in cables and hydraulic and electronic components.\ntxt2img mode\nUsing dev model\nLoaded LoRAs in 8.91s\nThe following part of your input was truncated because CLIP can only handle sequences up to 77 tokens: ['in cables and hydraulic and electronic components.', 'in cables and hydraulic and electronic components.', 'in cables and hydraulic and electronic components.', 'in cables and hydraulic and electronic components.']\n 0%| | 0/28 [00:00<?, ?it/s]\n 4%|▎ | 1/28 [00:01<00:27, 1.01s/it]\n 7%|▋ | 2/28 [00:01<00:22, 1.13it/s]\n 11%|█ | 3/28 [00:02<00:23, 1.06it/s]\n 14%|█▍ | 4/28 [00:03<00:23, 1.03it/s]\n 18%|█▊ | 5/28 [00:04<00:22, 1.01it/s]\n 21%|██▏ | 6/28 [00:05<00:21, 1.00it/s]\n 25%|██▌ | 7/28 [00:06<00:21, 1.00s/it]\n 29%|██▊ | 8/28 [00:07<00:20, 1.01s/it]\n 32%|███▏ | 9/28 [00:08<00:19, 1.01s/it]\n 36%|███▌ | 10/28 [00:09<00:18, 1.01s/it]\n 39%|███▉ | 11/28 [00:10<00:17, 1.01s/it]\n 43%|████▎ | 12/28 [00:11<00:16, 1.01s/it]\n 46%|████▋ | 13/28 [00:12<00:15, 1.01s/it]\n 50%|█████ | 14/28 [00:13<00:14, 1.01s/it]\n 54%|█████▎ | 15/28 [00:14<00:13, 1.01s/it]\n 57%|█████▋ | 16/28 [00:16<00:12, 1.01s/it]\n 61%|██████ | 17/28 [00:17<00:11, 1.01s/it]\n 64%|██████▍ | 18/28 [00:18<00:10, 1.02s/it]\n 68%|██████▊ | 19/28 [00:19<00:09, 1.02s/it]\n 71%|███████▏ | 20/28 [00:20<00:08, 1.02s/it]\n 75%|███████▌ | 21/28 [00:21<00:07, 1.02s/it]\n 79%|███████▊ | 22/28 [00:22<00:06, 1.01s/it]\n 82%|████████▏ | 23/28 [00:23<00:05, 1.01s/it]\n 86%|████████▌ | 24/28 [00:24<00:04, 1.01s/it]\n 89%|████████▉ | 25/28 [00:25<00:03, 1.01s/it]\n 93%|█████████▎| 26/28 [00:26<00:02, 1.01s/it]\n 96%|█████████▋| 27/28 [00:27<00:01, 1.01s/it]\n100%|██████████| 28/28 [00:28<00:00, 1.01s/it]\n100%|██████████| 28/28 [00:28<00:00, 1.01s/it]", "metrics": { "predict_time": 38.833091935, "total_time": 44.320028 }, "output": [ "https://replicate.delivery/yhqm/Jn7wBZbkgzqxLJ2JJBz8GylPmhcBjWkSXR6GrgypMM0Rot1E/out-0.webp", "https://replicate.delivery/yhqm/gM6YNDKapurSDlNhOTs9WH4ma6f9nztHhtDbwNLiEXFkQbrJA/out-1.webp", "https://replicate.delivery/yhqm/yCe8966MgFSJYKXeWX1ma9Gh9sCvr2nu1ieJ5keITmJgEabNB/out-2.webp", "https://replicate.delivery/yhqm/KIq04mUSAhabKRf5NPeiddfOvsooevF3rp69uf2wLkuFJ02aC/out-3.webp" ], "started_at": "2024-08-27T11:18:57.473937Z", "status": "succeeded", "urls": { "get": "https://api.replicate.com/v1/predictions/c8635caxadrm40chje7sxzxhbg", "cancel": "https://api.replicate.com/v1/predictions/c8635caxadrm40chje7sxzxhbg/cancel" }, "version": "bf772d87d563c647335dd4bdf50ca56ee5ced4fe55bf0e8ed3d7f874303ae688" }Generated inUsing seed: 58489 Prompt: 8k, HQ. Realistic. Male cybernetic body with a warrior-like appearance inspired by Circassian man attire. Assassin ninja style titanium armor and matte white inspired by Circassian man attire. Full body profile shot. Background inside the International Space Station. Volumetric light. Wearing a mustard-colored astronaut uniform. Features Kanji and Viking symbols. Body covered in cables and hydraulic and electronic components. txt2img mode Using dev model Loaded LoRAs in 8.91s The following part of your input was truncated because CLIP can only handle sequences up to 77 tokens: ['in cables and hydraulic and electronic components.', 'in cables and hydraulic and electronic components.', 'in cables and hydraulic and electronic components.', 'in cables and hydraulic and electronic components.'] 0%| | 0/28 [00:00<?, ?it/s] 4%|▎ | 1/28 [00:01<00:27, 1.01s/it] 7%|▋ | 2/28 [00:01<00:22, 1.13it/s] 11%|█ | 3/28 [00:02<00:23, 1.06it/s] 14%|█▍ | 4/28 [00:03<00:23, 1.03it/s] 18%|█▊ | 5/28 [00:04<00:22, 1.01it/s] 21%|██▏ | 6/28 [00:05<00:21, 1.00it/s] 25%|██▌ | 7/28 [00:06<00:21, 1.00s/it] 29%|██▊ | 8/28 [00:07<00:20, 1.01s/it] 32%|███▏ | 9/28 [00:08<00:19, 1.01s/it] 36%|███▌ | 10/28 [00:09<00:18, 1.01s/it] 39%|███▉ | 11/28 [00:10<00:17, 1.01s/it] 43%|████▎ | 12/28 [00:11<00:16, 1.01s/it] 46%|████▋ | 13/28 [00:12<00:15, 1.01s/it] 50%|█████ | 14/28 [00:13<00:14, 1.01s/it] 54%|█████▎ | 15/28 [00:14<00:13, 1.01s/it] 57%|█████▋ | 16/28 [00:16<00:12, 1.01s/it] 61%|██████ | 17/28 [00:17<00:11, 1.01s/it] 64%|██████▍ | 18/28 [00:18<00:10, 1.02s/it] 68%|██████▊ | 19/28 [00:19<00:09, 1.02s/it] 71%|███████▏ | 20/28 [00:20<00:08, 1.02s/it] 75%|███████▌ | 21/28 [00:21<00:07, 1.02s/it] 79%|███████▊ | 22/28 [00:22<00:06, 1.01s/it] 82%|████████▏ | 23/28 [00:23<00:05, 1.01s/it] 86%|████████▌ | 24/28 [00:24<00:04, 1.01s/it] 89%|████████▉ | 25/28 [00:25<00:03, 1.01s/it] 93%|█████████▎| 26/28 [00:26<00:02, 1.01s/it] 96%|█████████▋| 27/28 [00:27<00:01, 1.01s/it] 100%|██████████| 28/28 [00:28<00:00, 1.01s/it] 100%|██████████| 28/28 [00:28<00:00, 1.01s/it]Prediction
qunash/circassian-culture-flux-3000-steps:bf772d87d563c647335dd4bdf50ca56ee5ced4fe55bf0e8ed3d7f874303ae688IDjp400r64q5rm60chjeabar9gdrStatusSucceededSourceWebHardwareH100Total durationCreatedInput
- model
- dev
- prompt
- Design an ultra-realistic, full-body portrayal of Noob Saibot, the enigmatic warrior from Mortal Kombat, standing in a menacing pose with his dark, shadow-infused form exuding an aura of mystery and fear. His outfit resembles traditional Circassian man attire, and leather boots, all reimagined in obsidian-like materials that absorb surrounding light. In one hand, he grips a shadowy, ethereal scythe with glowing runes, while the background features swirling, smoky shadows drawn towards him, enhancing the sense of otherworldly power he commands.
- lora_scale
- 1
- num_outputs
- 4
- aspect_ratio
- 1:1
- output_format
- webp
- guidance_scale
- 3.5
- output_quality
- 80
- num_inference_steps
- 28
{ "model": "dev", "prompt": "Design an ultra-realistic, full-body portrayal of Noob Saibot, the enigmatic warrior from Mortal Kombat, standing in a menacing pose with his dark, shadow-infused form exuding an aura of mystery and fear. His outfit resembles traditional Circassian man attire, and leather boots, all reimagined in obsidian-like materials that absorb surrounding light. In one hand, he grips a shadowy, ethereal scythe with glowing runes, while the background features swirling, smoky shadows drawn towards him, enhancing the sense of otherworldly power he commands.", "lora_scale": 1, "num_outputs": 4, "aspect_ratio": "1:1", "output_format": "webp", "guidance_scale": 3.5, "output_quality": 80, "num_inference_steps": 28 }Install Replicate’s Node.js client library:npm install replicateImport and set up the client:import Replicate from "replicate"; const replicate = new Replicate({ auth: process.env.REPLICATE_API_TOKEN, });Run qunash/circassian-culture-flux-3000-steps using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.
const output = await replicate.run( "qunash/circassian-culture-flux-3000-steps:bf772d87d563c647335dd4bdf50ca56ee5ced4fe55bf0e8ed3d7f874303ae688", { input: { model: "dev", prompt: "Design an ultra-realistic, full-body portrayal of Noob Saibot, the enigmatic warrior from Mortal Kombat, standing in a menacing pose with his dark, shadow-infused form exuding an aura of mystery and fear. His outfit resembles traditional Circassian man attire, and leather boots, all reimagined in obsidian-like materials that absorb surrounding light. In one hand, he grips a shadowy, ethereal scythe with glowing runes, while the background features swirling, smoky shadows drawn towards him, enhancing the sense of otherworldly power he commands.", lora_scale: 1, num_outputs: 4, aspect_ratio: "1:1", output_format: "webp", guidance_scale: 3.5, output_quality: 80, num_inference_steps: 28 } } ); // To access the file URL: console.log(output[0].url()); //=> "http://example.com" // To write the file to disk: fs.writeFile("my-image.png", output[0]);To learn more, take a look at the guide on getting started with Node.js.
Install Replicate’s Python client library:pip install replicateImport the client:import replicateRun qunash/circassian-culture-flux-3000-steps using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.
output = replicate.run( "qunash/circassian-culture-flux-3000-steps:bf772d87d563c647335dd4bdf50ca56ee5ced4fe55bf0e8ed3d7f874303ae688", input={ "model": "dev", "prompt": "Design an ultra-realistic, full-body portrayal of Noob Saibot, the enigmatic warrior from Mortal Kombat, standing in a menacing pose with his dark, shadow-infused form exuding an aura of mystery and fear. His outfit resembles traditional Circassian man attire, and leather boots, all reimagined in obsidian-like materials that absorb surrounding light. In one hand, he grips a shadowy, ethereal scythe with glowing runes, while the background features swirling, smoky shadows drawn towards him, enhancing the sense of otherworldly power he commands.", "lora_scale": 1, "num_outputs": 4, "aspect_ratio": "1:1", "output_format": "webp", "guidance_scale": 3.5, "output_quality": 80, "num_inference_steps": 28 } ) print(output)To learn more, take a look at the guide on getting started with Python.
Run qunash/circassian-culture-flux-3000-steps using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.
curl -s -X POST \ -H "Authorization: Bearer $REPLICATE_API_TOKEN" \ -H "Content-Type: application/json" \ -H "Prefer: wait" \ -d $'{ "version": "qunash/circassian-culture-flux-3000-steps:bf772d87d563c647335dd4bdf50ca56ee5ced4fe55bf0e8ed3d7f874303ae688", "input": { "model": "dev", "prompt": "Design an ultra-realistic, full-body portrayal of Noob Saibot, the enigmatic warrior from Mortal Kombat, standing in a menacing pose with his dark, shadow-infused form exuding an aura of mystery and fear. His outfit resembles traditional Circassian man attire, and leather boots, all reimagined in obsidian-like materials that absorb surrounding light. In one hand, he grips a shadowy, ethereal scythe with glowing runes, while the background features swirling, smoky shadows drawn towards him, enhancing the sense of otherworldly power he commands.", "lora_scale": 1, "num_outputs": 4, "aspect_ratio": "1:1", "output_format": "webp", "guidance_scale": 3.5, "output_quality": 80, "num_inference_steps": 28 } }' \ https://api.replicate.com/v1/predictionsTo learn more, take a look at Replicate’s HTTP API reference docs.
Output
{ "completed_at": "2024-08-27T11:25:25.142514Z", "created_at": "2024-08-27T11:24:46.137000Z", "data_removed": false, "error": null, "id": "jp400r64q5rm60chjeabar9gdr", "input": { "model": "dev", "prompt": "Design an ultra-realistic, full-body portrayal of Noob Saibot, the enigmatic warrior from Mortal Kombat, standing in a menacing pose with his dark, shadow-infused form exuding an aura of mystery and fear. His outfit resembles traditional Circassian man attire, and leather boots, all reimagined in obsidian-like materials that absorb surrounding light. In one hand, he grips a shadowy, ethereal scythe with glowing runes, while the background features swirling, smoky shadows drawn towards him, enhancing the sense of otherworldly power he commands.", "lora_scale": 1, "num_outputs": 4, "aspect_ratio": "1:1", "output_format": "webp", "guidance_scale": 3.5, "output_quality": 80, "num_inference_steps": 28 }, "logs": "Using seed: 50500\nPrompt: Design an ultra-realistic, full-body portrayal of Noob Saibot, the enigmatic warrior from Mortal Kombat, standing in a menacing pose with his dark, shadow-infused form exuding an aura of mystery and fear. His outfit resembles traditional Circassian man attire, and leather boots, all reimagined in obsidian-like materials that absorb surrounding light. In one hand, he grips a shadowy, ethereal scythe with glowing runes, while the background features swirling, smoky shadows drawn towards him, enhancing the sense of otherworldly power he commands.\ntxt2img mode\nUsing dev model\nLoaded LoRAs in 7.87s\nThe following part of your input was truncated because CLIP can only handle sequences up to 77 tokens: ['in one hand, he grips a shadowy, ethereal scythe with glowing runes, while the background features swirling, smoky shadows drawn towards him, enhancing the sense of otherworldly power he commands.', 'in one hand, he grips a shadowy, ethereal scythe with glowing runes, while the background features swirling, smoky shadows drawn towards him, enhancing the sense of otherworldly power he commands.', 'in one hand, he grips a shadowy, ethereal scythe with glowing runes, while the background features swirling, smoky shadows drawn towards him, enhancing the sense of otherworldly power he commands.', 'in one hand, he grips a shadowy, ethereal scythe with glowing runes, while the background features swirling, smoky shadows drawn towards him, enhancing the sense of otherworldly power he commands.']\n 0%| | 0/28 [00:00<?, ?it/s]\n 4%|▎ | 1/28 [00:00<00:26, 1.00it/s]\n 7%|▋ | 2/28 [00:01<00:22, 1.15it/s]\n 11%|█ | 3/28 [00:02<00:23, 1.08it/s]\n 14%|█▍ | 4/28 [00:03<00:22, 1.05it/s]\n 18%|█▊ | 5/28 [00:04<00:22, 1.03it/s]\n 21%|██▏ | 6/28 [00:05<00:21, 1.02it/s]\n 25%|██▌ | 7/28 [00:06<00:20, 1.02it/s]\n 29%|██▊ | 8/28 [00:07<00:19, 1.01it/s]\n 32%|███▏ | 9/28 [00:08<00:18, 1.01it/s]\n 36%|███▌ | 10/28 [00:09<00:17, 1.01it/s]\n 39%|███▉ | 11/28 [00:10<00:16, 1.01it/s]\n 43%|████▎ | 12/28 [00:11<00:15, 1.00it/s]\n 46%|████▋ | 13/28 [00:12<00:14, 1.00it/s]\n 50%|█████ | 14/28 [00:13<00:13, 1.00it/s]\n 54%|█████▎ | 15/28 [00:14<00:12, 1.00it/s]\n 57%|█████▋ | 16/28 [00:15<00:11, 1.00it/s]\n 61%|██████ | 17/28 [00:16<00:10, 1.00it/s]\n 64%|██████▍ | 18/28 [00:17<00:09, 1.00it/s]\n 68%|██████▊ | 19/28 [00:18<00:08, 1.00it/s]\n 71%|███████▏ | 20/28 [00:19<00:07, 1.00it/s]\n 75%|███████▌ | 21/28 [00:20<00:07, 1.00s/it]\n 79%|███████▊ | 22/28 [00:21<00:06, 1.00s/it]\n 82%|████████▏ | 23/28 [00:22<00:05, 1.00s/it]\n 86%|████████▌ | 24/28 [00:23<00:03, 1.00it/s]\n 89%|████████▉ | 25/28 [00:24<00:03, 1.00s/it]\n 93%|█████████▎| 26/28 [00:25<00:02, 1.00s/it]\n 96%|█████████▋| 27/28 [00:26<00:01, 1.00s/it]\n100%|██████████| 28/28 [00:27<00:00, 1.00s/it]\n100%|██████████| 28/28 [00:27<00:00, 1.01it/s]", "metrics": { "predict_time": 37.259734886, "total_time": 39.005514 }, "output": [ "https://replicate.delivery/yhqm/Ree7zSrjw6rh4UOgiaK5q9A5k39EqVIbLofMzBQOk6eQaabNB/out-0.webp", "https://replicate.delivery/yhqm/sH3nXrs5Fl5UCheuW8nTps6KTf7eZ0yKOKbOWYXLgvAINttmA/out-1.webp", "https://replicate.delivery/yhqm/ckfqyJ7VnMzWLSRWx8JDUph2HqqPfX6ikLH9DIRiJuPkm2WTA/out-2.webp", "https://replicate.delivery/yhqm/lGlAvPvIQ1ahC1Sa9CLejatZiTbgWW8Xo2i1KQb3Gv8STbrJA/out-3.webp" ], "started_at": "2024-08-27T11:24:47.882779Z", "status": "succeeded", "urls": { "get": "https://api.replicate.com/v1/predictions/jp400r64q5rm60chjeabar9gdr", "cancel": "https://api.replicate.com/v1/predictions/jp400r64q5rm60chjeabar9gdr/cancel" }, "version": "bf772d87d563c647335dd4bdf50ca56ee5ced4fe55bf0e8ed3d7f874303ae688" }Generated inUsing seed: 50500 Prompt: Design an ultra-realistic, full-body portrayal of Noob Saibot, the enigmatic warrior from Mortal Kombat, standing in a menacing pose with his dark, shadow-infused form exuding an aura of mystery and fear. His outfit resembles traditional Circassian man attire, and leather boots, all reimagined in obsidian-like materials that absorb surrounding light. In one hand, he grips a shadowy, ethereal scythe with glowing runes, while the background features swirling, smoky shadows drawn towards him, enhancing the sense of otherworldly power he commands. txt2img mode Using dev model Loaded LoRAs in 7.87s The following part of your input was truncated because CLIP can only handle sequences up to 77 tokens: ['in one hand, he grips a shadowy, ethereal scythe with glowing runes, while the background features swirling, smoky shadows drawn towards him, enhancing the sense of otherworldly power he commands.', 'in one hand, he grips a shadowy, ethereal scythe with glowing runes, while the background features swirling, smoky shadows drawn towards him, enhancing the sense of otherworldly power he commands.', 'in one hand, he grips a shadowy, ethereal scythe with glowing runes, while the background features swirling, smoky shadows drawn towards him, enhancing the sense of otherworldly power he commands.', 'in one hand, he grips a shadowy, ethereal scythe with glowing runes, while the background features swirling, smoky shadows drawn towards him, enhancing the sense of otherworldly power he commands.'] 0%| | 0/28 [00:00<?, ?it/s] 4%|▎ | 1/28 [00:00<00:26, 1.00it/s] 7%|▋ | 2/28 [00:01<00:22, 1.15it/s] 11%|█ | 3/28 [00:02<00:23, 1.08it/s] 14%|█▍ | 4/28 [00:03<00:22, 1.05it/s] 18%|█▊ | 5/28 [00:04<00:22, 1.03it/s] 21%|██▏ | 6/28 [00:05<00:21, 1.02it/s] 25%|██▌ | 7/28 [00:06<00:20, 1.02it/s] 29%|██▊ | 8/28 [00:07<00:19, 1.01it/s] 32%|███▏ | 9/28 [00:08<00:18, 1.01it/s] 36%|███▌ | 10/28 [00:09<00:17, 1.01it/s] 39%|███▉ | 11/28 [00:10<00:16, 1.01it/s] 43%|████▎ | 12/28 [00:11<00:15, 1.00it/s] 46%|████▋ | 13/28 [00:12<00:14, 1.00it/s] 50%|█████ | 14/28 [00:13<00:13, 1.00it/s] 54%|█████▎ | 15/28 [00:14<00:12, 1.00it/s] 57%|█████▋ | 16/28 [00:15<00:11, 1.00it/s] 61%|██████ | 17/28 [00:16<00:10, 1.00it/s] 64%|██████▍ | 18/28 [00:17<00:09, 1.00it/s] 68%|██████▊ | 19/28 [00:18<00:08, 1.00it/s] 71%|███████▏ | 20/28 [00:19<00:07, 1.00it/s] 75%|███████▌ | 21/28 [00:20<00:07, 1.00s/it] 79%|███████▊ | 22/28 [00:21<00:06, 1.00s/it] 82%|████████▏ | 23/28 [00:22<00:05, 1.00s/it] 86%|████████▌ | 24/28 [00:23<00:03, 1.00it/s] 89%|████████▉ | 25/28 [00:24<00:03, 1.00s/it] 93%|█████████▎| 26/28 [00:25<00:02, 1.00s/it] 96%|█████████▋| 27/28 [00:26<00:01, 1.00s/it] 100%|██████████| 28/28 [00:27<00:00, 1.00s/it] 100%|██████████| 28/28 [00:27<00:00, 1.01it/s]Prediction
qunash/circassian-culture-flux-3000-steps:bf772d87d563c647335dd4bdf50ca56ee5ced4fe55bf0e8ed3d7f874303ae688ID9ykbwa2wdxrm60chf968280dnwStatusSucceededSourceWebHardwareH100Total durationCreatedInput
- model
- dev
- prompt
- Delicate Elegance | Sony A7R IV, 90mm f/2.8 Macro A closeup of a woman's hand in a Circassian dress, bathed in soft natural light. Her slender fingers are adorned with a vintage silver ring, its intricate filigree catching the sun. Subtle shimmer of a pale pink manicure to the gentle curves of her knuckles. Set against a creamy bokeh background, this high-resolution shot showcases the camera's ability to render fine textures and skin tones with lifelike precision.
- lora_scale
- 1
- num_outputs
- 4
- aspect_ratio
- 1:1
- output_format
- webp
- guidance_scale
- 3.5
- output_quality
- 80
- num_inference_steps
- 50
{ "model": "dev", "prompt": "Delicate Elegance | Sony A7R IV, 90mm f/2.8 Macro\nA closeup of a woman's hand in a Circassian dress, bathed in soft natural light. Her slender fingers are adorned with a vintage silver ring, its intricate filigree catching the sun. Subtle shimmer of a pale pink manicure to the gentle curves of her knuckles. Set against a creamy bokeh background, this high-resolution shot showcases the camera's ability to render fine textures and skin tones with lifelike precision.", "lora_scale": 1, "num_outputs": 4, "aspect_ratio": "1:1", "output_format": "webp", "guidance_scale": 3.5, "output_quality": 80, "num_inference_steps": 50 }Install Replicate’s Node.js client library:npm install replicateImport and set up the client:import Replicate from "replicate"; const replicate = new Replicate({ auth: process.env.REPLICATE_API_TOKEN, });Run qunash/circassian-culture-flux-3000-steps using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.
const output = await replicate.run( "qunash/circassian-culture-flux-3000-steps:bf772d87d563c647335dd4bdf50ca56ee5ced4fe55bf0e8ed3d7f874303ae688", { input: { model: "dev", prompt: "Delicate Elegance | Sony A7R IV, 90mm f/2.8 Macro\nA closeup of a woman's hand in a Circassian dress, bathed in soft natural light. Her slender fingers are adorned with a vintage silver ring, its intricate filigree catching the sun. Subtle shimmer of a pale pink manicure to the gentle curves of her knuckles. Set against a creamy bokeh background, this high-resolution shot showcases the camera's ability to render fine textures and skin tones with lifelike precision.", lora_scale: 1, num_outputs: 4, aspect_ratio: "1:1", output_format: "webp", guidance_scale: 3.5, output_quality: 80, num_inference_steps: 50 } } ); // To access the file URL: console.log(output[0].url()); //=> "http://example.com" // To write the file to disk: fs.writeFile("my-image.png", output[0]);To learn more, take a look at the guide on getting started with Node.js.
Install Replicate’s Python client library:pip install replicateImport the client:import replicateRun qunash/circassian-culture-flux-3000-steps using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.
output = replicate.run( "qunash/circassian-culture-flux-3000-steps:bf772d87d563c647335dd4bdf50ca56ee5ced4fe55bf0e8ed3d7f874303ae688", input={ "model": "dev", "prompt": "Delicate Elegance | Sony A7R IV, 90mm f/2.8 Macro\nA closeup of a woman's hand in a Circassian dress, bathed in soft natural light. Her slender fingers are adorned with a vintage silver ring, its intricate filigree catching the sun. Subtle shimmer of a pale pink manicure to the gentle curves of her knuckles. Set against a creamy bokeh background, this high-resolution shot showcases the camera's ability to render fine textures and skin tones with lifelike precision.", "lora_scale": 1, "num_outputs": 4, "aspect_ratio": "1:1", "output_format": "webp", "guidance_scale": 3.5, "output_quality": 80, "num_inference_steps": 50 } ) print(output)To learn more, take a look at the guide on getting started with Python.
Run qunash/circassian-culture-flux-3000-steps using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.
curl -s -X POST \ -H "Authorization: Bearer $REPLICATE_API_TOKEN" \ -H "Content-Type: application/json" \ -H "Prefer: wait" \ -d $'{ "version": "qunash/circassian-culture-flux-3000-steps:bf772d87d563c647335dd4bdf50ca56ee5ced4fe55bf0e8ed3d7f874303ae688", "input": { "model": "dev", "prompt": "Delicate Elegance | Sony A7R IV, 90mm f/2.8 Macro\\nA closeup of a woman\'s hand in a Circassian dress, bathed in soft natural light. Her slender fingers are adorned with a vintage silver ring, its intricate filigree catching the sun. Subtle shimmer of a pale pink manicure to the gentle curves of her knuckles. Set against a creamy bokeh background, this high-resolution shot showcases the camera\'s ability to render fine textures and skin tones with lifelike precision.", "lora_scale": 1, "num_outputs": 4, "aspect_ratio": "1:1", "output_format": "webp", "guidance_scale": 3.5, "output_quality": 80, "num_inference_steps": 50 } }' \ https://api.replicate.com/v1/predictionsTo learn more, take a look at Replicate’s HTTP API reference docs.
Output
{ "completed_at": "2024-08-22T13:36:37.401002Z", "created_at": "2024-08-22T13:35:10.447000Z", "data_removed": false, "error": null, "id": "9ykbwa2wdxrm60chf968280dnw", "input": { "model": "dev", "prompt": "Delicate Elegance | Sony A7R IV, 90mm f/2.8 Macro\nA closeup of a woman's hand in a Circassian dress, bathed in soft natural light. Her slender fingers are adorned with a vintage silver ring, its intricate filigree catching the sun. Subtle shimmer of a pale pink manicure to the gentle curves of her knuckles. Set against a creamy bokeh background, this high-resolution shot showcases the camera's ability to render fine textures and skin tones with lifelike precision.", "lora_scale": 1, "num_outputs": 4, "aspect_ratio": "1:1", "output_format": "webp", "guidance_scale": 3.5, "output_quality": 80, "num_inference_steps": 50 }, "logs": "Using seed: 19790\nPrompt: Delicate Elegance | Sony A7R IV, 90mm f/2.8 Macro\nA closeup of a woman's hand in a Circassian dress, bathed in soft natural light. Her slender fingers are adorned with a vintage silver ring, its intricate filigree catching the sun. Subtle shimmer of a pale pink manicure to the gentle curves of her knuckles. Set against a creamy bokeh background, this high-resolution shot showcases the camera's ability to render fine textures and skin tones with lifelike precision.\ntxt2img mode\nUsing dev model\nLoading LoRA weights\nEnsuring enough disk space...\nFree disk space: 9453799067648\nDownloading weights\n2024-08-22T13:35:31Z | INFO | [ Initiating ] chunk_size=150M dest=/src/weights-cache/41925a20b164b9c8 url=https://replicate.delivery/yhqm/wtXcKcWjsU6cOp1w1M0S5Pa3xxgzfXymMQmF8n3T7NmCz1pJA/trained_model.tar\n2024-08-22T13:35:33Z | INFO | [ Complete ] dest=/src/weights-cache/41925a20b164b9c8 size=\"172 MB\" total_elapsed=1.492s url=https://replicate.delivery/yhqm/wtXcKcWjsU6cOp1w1M0S5Pa3xxgzfXymMQmF8n3T7NmCz1pJA/trained_model.tar\nb''\nDownloaded weights in 1.5193440914154053 seconds\nLoRA weights loaded successfully\nThe following part of your input was truncated because CLIP can only handle sequences up to 77 tokens: [\"a creamy bokeh background, this high - resolution shot showcases the camera's ability to render fine textures and skin tones with lifelike precision.\", \"a creamy bokeh background, this high - resolution shot showcases the camera's ability to render fine textures and skin tones with lifelike precision.\", \"a creamy bokeh background, this high - resolution shot showcases the camera's ability to render fine textures and skin tones with lifelike precision.\", \"a creamy bokeh background, this high - resolution shot showcases the camera's ability to render fine textures and skin tones with lifelike precision.\"]\n 0%| | 0/50 [00:00<?, ?it/s]\n 2%|▏ | 1/50 [00:01<00:49, 1.00s/it]\n 4%|▍ | 2/50 [00:01<00:42, 1.14it/s]\n 6%|▌ | 3/50 [00:02<00:44, 1.07it/s]\n 8%|▊ | 4/50 [00:03<00:44, 1.04it/s]\n 10%|█ | 5/50 [00:04<00:44, 1.02it/s]\n 12%|█▏ | 6/50 [00:05<00:43, 1.01it/s]\n 14%|█▍ | 7/50 [00:06<00:42, 1.01it/s]\n 16%|█▌ | 8/50 [00:07<00:41, 1.00it/s]\n 18%|█▊ | 9/50 [00:08<00:41, 1.00s/it]\n 20%|██ | 10/50 [00:09<00:40, 1.00s/it]\n 22%|██▏ | 11/50 [00:10<00:39, 1.01s/it]\n 24%|██▍ | 12/50 [00:11<00:38, 1.01s/it]\n 26%|██▌ | 13/50 [00:12<00:37, 1.01s/it]\n 28%|██▊ | 14/50 [00:13<00:36, 1.01s/it]\n 30%|███ | 15/50 [00:14<00:35, 1.01s/it]\n 32%|███▏ | 16/50 [00:15<00:34, 1.01s/it]\n 34%|███▍ | 17/50 [00:16<00:33, 1.01s/it]\n 36%|███▌ | 18/50 [00:17<00:32, 1.01s/it]\n 38%|███▊ | 19/50 [00:18<00:31, 1.01s/it]\n 40%|████ | 20/50 [00:19<00:30, 1.01s/it]\n 42%|████▏ | 21/50 [00:20<00:29, 1.01s/it]\n 44%|████▍ | 22/50 [00:21<00:28, 1.01s/it]\n 46%|████▌ | 23/50 [00:22<00:27, 1.01s/it]\n 48%|████▊ | 24/50 [00:23<00:26, 1.01s/it]\n 50%|█████ | 25/50 [00:25<00:25, 1.01s/it]\n 52%|█████▏ | 26/50 [00:26<00:24, 1.01s/it]\n 54%|█████▍ | 27/50 [00:27<00:23, 1.01s/it]\n 56%|█████▌ | 28/50 [00:28<00:22, 1.01s/it]\n 58%|█████▊ | 29/50 [00:29<00:21, 1.01s/it]\n 60%|██████ | 30/50 [00:30<00:20, 1.01s/it]\n 62%|██████▏ | 31/50 [00:31<00:19, 1.01s/it]\n 64%|██████▍ | 32/50 [00:32<00:18, 1.01s/it]\n 66%|██████▌ | 33/50 [00:33<00:17, 1.01s/it]\n 68%|██████▊ | 34/50 [00:34<00:16, 1.01s/it]\n 70%|███████ | 35/50 [00:35<00:15, 1.01s/it]\n 72%|███████▏ | 36/50 [00:36<00:14, 1.01s/it]\n 74%|███████▍ | 37/50 [00:37<00:13, 1.01s/it]\n 76%|███████▌ | 38/50 [00:38<00:12, 1.01s/it]\n 78%|███████▊ | 39/50 [00:39<00:11, 1.01s/it]\n 80%|████████ | 40/50 [00:40<00:10, 1.01s/it]\n 82%|████████▏ | 41/50 [00:41<00:09, 1.01s/it]\n 84%|████████▍ | 42/50 [00:42<00:08, 1.01s/it]\n 86%|████████▌ | 43/50 [00:43<00:07, 1.01s/it]\n 88%|████████▊ | 44/50 [00:44<00:06, 1.01s/it]\n 90%|█████████ | 45/50 [00:45<00:05, 1.01s/it]\n 92%|█████████▏| 46/50 [00:46<00:04, 1.01s/it]\n 94%|█████████▍| 47/50 [00:47<00:03, 1.01s/it]\n 96%|█████████▌| 48/50 [00:48<00:02, 1.01s/it]\n 98%|█████████▊| 49/50 [00:49<00:01, 1.01s/it]\n100%|██████████| 50/50 [00:50<00:00, 1.01s/it]\n100%|██████████| 50/50 [00:50<00:00, 1.01s/it]", "metrics": { "predict_time": 65.574618838, "total_time": 86.954002 }, "output": [ "https://replicate.delivery/yhqm/gHEgJD3IPrL3L5LmQnTRLcol91pi6Cd0DQsxqsgwpAZ5wT1E/out-0.webp", "https://replicate.delivery/yhqm/qOSfV8TZO4zFD6HdBWDlcfXLXZdHwe8SZNjYhXIUeqevc4paC/out-1.webp", "https://replicate.delivery/yhqm/oZlkrolq2u4XGZulRUpZd0vrdsOpX51n0vhVefwXf5ULHeUNB/out-2.webp", "https://replicate.delivery/yhqm/1Y35tLwKifXiFqjsb5EvVO2TCciUzi59Z2CEUrTEGztyhnqJA/out-3.webp" ], "started_at": "2024-08-22T13:35:31.826383Z", "status": "succeeded", "urls": { "get": "https://api.replicate.com/v1/predictions/9ykbwa2wdxrm60chf968280dnw", "cancel": "https://api.replicate.com/v1/predictions/9ykbwa2wdxrm60chf968280dnw/cancel" }, "version": "bf772d87d563c647335dd4bdf50ca56ee5ced4fe55bf0e8ed3d7f874303ae688" }Generated inUsing seed: 19790 Prompt: Delicate Elegance | Sony A7R IV, 90mm f/2.8 Macro A closeup of a woman's hand in a Circassian dress, bathed in soft natural light. Her slender fingers are adorned with a vintage silver ring, its intricate filigree catching the sun. Subtle shimmer of a pale pink manicure to the gentle curves of her knuckles. Set against a creamy bokeh background, this high-resolution shot showcases the camera's ability to render fine textures and skin tones with lifelike precision. txt2img mode Using dev model Loading LoRA weights Ensuring enough disk space... Free disk space: 9453799067648 Downloading weights 2024-08-22T13:35:31Z | INFO | [ Initiating ] chunk_size=150M dest=/src/weights-cache/41925a20b164b9c8 url=https://replicate.delivery/yhqm/wtXcKcWjsU6cOp1w1M0S5Pa3xxgzfXymMQmF8n3T7NmCz1pJA/trained_model.tar 2024-08-22T13:35:33Z | INFO | [ Complete ] dest=/src/weights-cache/41925a20b164b9c8 size="172 MB" total_elapsed=1.492s url=https://replicate.delivery/yhqm/wtXcKcWjsU6cOp1w1M0S5Pa3xxgzfXymMQmF8n3T7NmCz1pJA/trained_model.tar b'' Downloaded weights in 1.5193440914154053 seconds LoRA weights loaded successfully The following part of your input was truncated because CLIP can only handle sequences up to 77 tokens: ["a creamy bokeh background, this high - resolution shot showcases the camera's ability to render fine textures and skin tones with lifelike precision.", "a creamy bokeh background, this high - resolution shot showcases the camera's ability to render fine textures and skin tones with lifelike precision.", "a creamy bokeh background, this high - resolution shot showcases the camera's ability to render fine textures and skin tones with lifelike precision.", "a creamy bokeh background, this high - resolution shot showcases the camera's ability to render fine textures and skin tones with lifelike precision."] 0%| | 0/50 [00:00<?, ?it/s] 2%|▏ | 1/50 [00:01<00:49, 1.00s/it] 4%|▍ | 2/50 [00:01<00:42, 1.14it/s] 6%|▌ | 3/50 [00:02<00:44, 1.07it/s] 8%|▊ | 4/50 [00:03<00:44, 1.04it/s] 10%|█ | 5/50 [00:04<00:44, 1.02it/s] 12%|█▏ | 6/50 [00:05<00:43, 1.01it/s] 14%|█▍ | 7/50 [00:06<00:42, 1.01it/s] 16%|█▌ | 8/50 [00:07<00:41, 1.00it/s] 18%|█▊ | 9/50 [00:08<00:41, 1.00s/it] 20%|██ | 10/50 [00:09<00:40, 1.00s/it] 22%|██▏ | 11/50 [00:10<00:39, 1.01s/it] 24%|██▍ | 12/50 [00:11<00:38, 1.01s/it] 26%|██▌ | 13/50 [00:12<00:37, 1.01s/it] 28%|██▊ | 14/50 [00:13<00:36, 1.01s/it] 30%|███ | 15/50 [00:14<00:35, 1.01s/it] 32%|███▏ | 16/50 [00:15<00:34, 1.01s/it] 34%|███▍ | 17/50 [00:16<00:33, 1.01s/it] 36%|███▌ | 18/50 [00:17<00:32, 1.01s/it] 38%|███▊ | 19/50 [00:18<00:31, 1.01s/it] 40%|████ | 20/50 [00:19<00:30, 1.01s/it] 42%|████▏ | 21/50 [00:20<00:29, 1.01s/it] 44%|████▍ | 22/50 [00:21<00:28, 1.01s/it] 46%|████▌ | 23/50 [00:22<00:27, 1.01s/it] 48%|████▊ | 24/50 [00:23<00:26, 1.01s/it] 50%|█████ | 25/50 [00:25<00:25, 1.01s/it] 52%|█████▏ | 26/50 [00:26<00:24, 1.01s/it] 54%|█████▍ | 27/50 [00:27<00:23, 1.01s/it] 56%|█████▌ | 28/50 [00:28<00:22, 1.01s/it] 58%|█████▊ | 29/50 [00:29<00:21, 1.01s/it] 60%|██████ | 30/50 [00:30<00:20, 1.01s/it] 62%|██████▏ | 31/50 [00:31<00:19, 1.01s/it] 64%|██████▍ | 32/50 [00:32<00:18, 1.01s/it] 66%|██████▌ | 33/50 [00:33<00:17, 1.01s/it] 68%|██████▊ | 34/50 [00:34<00:16, 1.01s/it] 70%|███████ | 35/50 [00:35<00:15, 1.01s/it] 72%|███████▏ | 36/50 [00:36<00:14, 1.01s/it] 74%|███████▍ | 37/50 [00:37<00:13, 1.01s/it] 76%|███████▌ | 38/50 [00:38<00:12, 1.01s/it] 78%|███████▊ | 39/50 [00:39<00:11, 1.01s/it] 80%|████████ | 40/50 [00:40<00:10, 1.01s/it] 82%|████████▏ | 41/50 [00:41<00:09, 1.01s/it] 84%|████████▍ | 42/50 [00:42<00:08, 1.01s/it] 86%|████████▌ | 43/50 [00:43<00:07, 1.01s/it] 88%|████████▊ | 44/50 [00:44<00:06, 1.01s/it] 90%|█████████ | 45/50 [00:45<00:05, 1.01s/it] 92%|█████████▏| 46/50 [00:46<00:04, 1.01s/it] 94%|█████████▍| 47/50 [00:47<00:03, 1.01s/it] 96%|█████████▌| 48/50 [00:48<00:02, 1.01s/it] 98%|█████████▊| 49/50 [00:49<00:01, 1.01s/it] 100%|██████████| 50/50 [00:50<00:00, 1.01s/it] 100%|██████████| 50/50 [00:50<00:00, 1.01s/it]Prediction
qunash/circassian-culture-flux-3000-steps:bf772d87d563c647335dd4bdf50ca56ee5ced4fe55bf0e8ed3d7f874303ae688IDrjhed867fhrm60chf1vbhfce8cStatusSucceededSourceWebHardwareH100Total durationCreatedInput
- model
- dev
- prompt
- A vintage black and white photograph showcases a young woman wearing traditional Circassian attire. Her elegant fasha dress features a long, white lace overcoat with flowing sleeves, cinched at the waist with an ornate belt. The dress is adorned with intricate embroidery and a dark, patterned bodice visible beneath. A white headscarf drapes gracefully over her head, framing her face in the classic Circassian style. The image captures the rich cultural heritage and refined beauty of Circassian women's fashion from a bygone era.
- lora_scale
- 1
- num_outputs
- 4
- aspect_ratio
- 1:1
- output_format
- webp
- guidance_scale
- 3.5
- output_quality
- 80
- num_inference_steps
- 50
{ "model": "dev", "prompt": "A vintage black and white photograph showcases a young woman wearing traditional Circassian attire. Her elegant fasha dress features a long, white lace overcoat with flowing sleeves, cinched at the waist with an ornate belt. The dress is adorned with intricate embroidery and a dark, patterned bodice visible beneath. A white headscarf drapes gracefully over her head, framing her face in the classic Circassian style. The image captures the rich cultural heritage and refined beauty of Circassian women's fashion from a bygone era.", "lora_scale": 1, "num_outputs": 4, "aspect_ratio": "1:1", "output_format": "webp", "guidance_scale": 3.5, "output_quality": 80, "num_inference_steps": 50 }Install Replicate’s Node.js client library:npm install replicateImport and set up the client:import Replicate from "replicate"; const replicate = new Replicate({ auth: process.env.REPLICATE_API_TOKEN, });Run qunash/circassian-culture-flux-3000-steps using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.
const output = await replicate.run( "qunash/circassian-culture-flux-3000-steps:bf772d87d563c647335dd4bdf50ca56ee5ced4fe55bf0e8ed3d7f874303ae688", { input: { model: "dev", prompt: "A vintage black and white photograph showcases a young woman wearing traditional Circassian attire. Her elegant fasha dress features a long, white lace overcoat with flowing sleeves, cinched at the waist with an ornate belt. The dress is adorned with intricate embroidery and a dark, patterned bodice visible beneath. A white headscarf drapes gracefully over her head, framing her face in the classic Circassian style. The image captures the rich cultural heritage and refined beauty of Circassian women's fashion from a bygone era.", lora_scale: 1, num_outputs: 4, aspect_ratio: "1:1", output_format: "webp", guidance_scale: 3.5, output_quality: 80, num_inference_steps: 50 } } ); // To access the file URL: console.log(output[0].url()); //=> "http://example.com" // To write the file to disk: fs.writeFile("my-image.png", output[0]);To learn more, take a look at the guide on getting started with Node.js.
Install Replicate’s Python client library:pip install replicateImport the client:import replicateRun qunash/circassian-culture-flux-3000-steps using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.
output = replicate.run( "qunash/circassian-culture-flux-3000-steps:bf772d87d563c647335dd4bdf50ca56ee5ced4fe55bf0e8ed3d7f874303ae688", input={ "model": "dev", "prompt": "A vintage black and white photograph showcases a young woman wearing traditional Circassian attire. Her elegant fasha dress features a long, white lace overcoat with flowing sleeves, cinched at the waist with an ornate belt. The dress is adorned with intricate embroidery and a dark, patterned bodice visible beneath. A white headscarf drapes gracefully over her head, framing her face in the classic Circassian style. The image captures the rich cultural heritage and refined beauty of Circassian women's fashion from a bygone era.", "lora_scale": 1, "num_outputs": 4, "aspect_ratio": "1:1", "output_format": "webp", "guidance_scale": 3.5, "output_quality": 80, "num_inference_steps": 50 } ) print(output)To learn more, take a look at the guide on getting started with Python.
Run qunash/circassian-culture-flux-3000-steps using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.
curl -s -X POST \ -H "Authorization: Bearer $REPLICATE_API_TOKEN" \ -H "Content-Type: application/json" \ -H "Prefer: wait" \ -d $'{ "version": "qunash/circassian-culture-flux-3000-steps:bf772d87d563c647335dd4bdf50ca56ee5ced4fe55bf0e8ed3d7f874303ae688", "input": { "model": "dev", "prompt": "A vintage black and white photograph showcases a young woman wearing traditional Circassian attire. Her elegant fasha dress features a long, white lace overcoat with flowing sleeves, cinched at the waist with an ornate belt. The dress is adorned with intricate embroidery and a dark, patterned bodice visible beneath. A white headscarf drapes gracefully over her head, framing her face in the classic Circassian style. The image captures the rich cultural heritage and refined beauty of Circassian women\'s fashion from a bygone era.", "lora_scale": 1, "num_outputs": 4, "aspect_ratio": "1:1", "output_format": "webp", "guidance_scale": 3.5, "output_quality": 80, "num_inference_steps": 50 } }' \ https://api.replicate.com/v1/predictionsTo learn more, take a look at Replicate’s HTTP API reference docs.
Output
{ "completed_at": "2024-08-22T05:03:19.751437Z", "created_at": "2024-08-22T05:02:15.932000Z", "data_removed": false, "error": null, "id": "rjhed867fhrm60chf1vbhfce8c", "input": { "model": "dev", "prompt": "A vintage black and white photograph showcases a young woman wearing traditional Circassian attire. Her elegant fasha dress features a long, white lace overcoat with flowing sleeves, cinched at the waist with an ornate belt. The dress is adorned with intricate embroidery and a dark, patterned bodice visible beneath. A white headscarf drapes gracefully over her head, framing her face in the classic Circassian style. The image captures the rich cultural heritage and refined beauty of Circassian women's fashion from a bygone era.", "lora_scale": 1, "num_outputs": 4, "aspect_ratio": "1:1", "output_format": "webp", "guidance_scale": 3.5, "output_quality": 80, "num_inference_steps": 50 }, "logs": "Using seed: 48959\nPrompt: A vintage black and white photograph showcases a young woman wearing traditional Circassian attire. Her elegant fasha dress features a long, white lace overcoat with flowing sleeves, cinched at the waist with an ornate belt. The dress is adorned with intricate embroidery and a dark, patterned bodice visible beneath. A white headscarf drapes gracefully over her head, framing her face in the classic Circassian style. The image captures the rich cultural heritage and refined beauty of Circassian women's fashion from a bygone era.\ntxt2img mode\nUsing dev model\nLoading LoRA weights\nEnsuring enough disk space...\nFree disk space: 9561974849536\nDownloading weights\n2024-08-22T05:02:18Z | INFO | [ Initiating ] chunk_size=150M dest=/src/weights-cache/41925a20b164b9c8 url=https://replicate.delivery/yhqm/wtXcKcWjsU6cOp1w1M0S5Pa3xxgzfXymMQmF8n3T7NmCz1pJA/trained_model.tar\n2024-08-22T05:02:19Z | INFO | [ Complete ] dest=/src/weights-cache/41925a20b164b9c8 size=\"172 MB\" total_elapsed=1.285s url=https://replicate.delivery/yhqm/wtXcKcWjsU6cOp1w1M0S5Pa3xxgzfXymMQmF8n3T7NmCz1pJA/trained_model.tar\nb''\nDownloaded weights in 1.3139238357543945 seconds\nLoRA weights loaded successfully\nToken indices sequence length is longer than the specified maximum sequence length for this model (109 > 77). Running this sequence through the model will result in indexing errors\nThe following part of your input was truncated because CLIP can only handle sequences up to 77 tokens: [\"face in the classic circassian style. the image captures the rich cultural heritage and refined beauty of circassian women's fashion from a bygone era.\", \"face in the classic circassian style. the image captures the rich cultural heritage and refined beauty of circassian women's fashion from a bygone era.\", \"face in the classic circassian style. the image captures the rich cultural heritage and refined beauty of circassian women's fashion from a bygone era.\", \"face in the classic circassian style. the image captures the rich cultural heritage and refined beauty of circassian women's fashion from a bygone era.\"]\n 0%| | 0/50 [00:00<?, ?it/s]\n 2%|▏ | 1/50 [00:00<00:48, 1.01it/s]\n 4%|▍ | 2/50 [00:01<00:41, 1.15it/s]\n 6%|▌ | 3/50 [00:02<00:43, 1.08it/s]\n 8%|▊ | 4/50 [00:03<00:43, 1.05it/s]\n 10%|█ | 5/50 [00:04<00:43, 1.04it/s]\n 12%|█▏ | 6/50 [00:05<00:42, 1.03it/s]\n 14%|█▍ | 7/50 [00:06<00:42, 1.02it/s]\n 16%|█▌ | 8/50 [00:07<00:41, 1.02it/s]\n 18%|█▊ | 9/50 [00:08<00:40, 1.02it/s]\n 20%|██ | 10/50 [00:09<00:39, 1.01it/s]\n 22%|██▏ | 11/50 [00:10<00:38, 1.01it/s]\n 24%|██▍ | 12/50 [00:11<00:37, 1.01it/s]\n 26%|██▌ | 13/50 [00:12<00:36, 1.01it/s]\n 28%|██▊ | 14/50 [00:13<00:35, 1.01it/s]\n 30%|███ | 15/50 [00:14<00:34, 1.01it/s]\n 32%|███▏ | 16/50 [00:15<00:33, 1.01it/s]\n 34%|███▍ | 17/50 [00:16<00:32, 1.01it/s]\n 36%|███▌ | 18/50 [00:17<00:31, 1.01it/s]\n 38%|███▊ | 19/50 [00:18<00:30, 1.01it/s]\n 40%|████ | 20/50 [00:19<00:29, 1.01it/s]\n 42%|████▏ | 21/50 [00:20<00:28, 1.01it/s]\n 44%|████▍ | 22/50 [00:21<00:27, 1.01it/s]\n 46%|████▌ | 23/50 [00:22<00:26, 1.01it/s]\n 48%|████▊ | 24/50 [00:23<00:25, 1.01it/s]\n 50%|█████ | 25/50 [00:24<00:24, 1.01it/s]\n 52%|█████▏ | 26/50 [00:25<00:23, 1.01it/s]\n 54%|█████▍ | 27/50 [00:26<00:22, 1.01it/s]\n 56%|█████▌ | 28/50 [00:27<00:21, 1.01it/s]\n 58%|█████▊ | 29/50 [00:28<00:20, 1.01it/s]\n 60%|██████ | 30/50 [00:29<00:19, 1.01it/s]\n 62%|██████▏ | 31/50 [00:30<00:18, 1.01it/s]\n 64%|██████▍ | 32/50 [00:31<00:17, 1.01it/s]\n 66%|██████▌ | 33/50 [00:32<00:16, 1.01it/s]\n 68%|██████▊ | 34/50 [00:33<00:15, 1.01it/s]\n 70%|███████ | 35/50 [00:34<00:14, 1.01it/s]\n 72%|███████▏ | 36/50 [00:35<00:13, 1.01it/s]\n 74%|███████▍ | 37/50 [00:36<00:12, 1.01it/s]\n 76%|███████▌ | 38/50 [00:37<00:11, 1.01it/s]\n 78%|███████▊ | 39/50 [00:38<00:10, 1.01it/s]\n 80%|████████ | 40/50 [00:39<00:09, 1.01it/s]\n 82%|████████▏ | 41/50 [00:40<00:08, 1.01it/s]\n 84%|████████▍ | 42/50 [00:41<00:07, 1.01it/s]\n 86%|████████▌ | 43/50 [00:42<00:06, 1.01it/s]\n 88%|████████▊ | 44/50 [00:43<00:05, 1.01it/s]\n 90%|█████████ | 45/50 [00:44<00:04, 1.01it/s]\n 92%|█████████▏| 46/50 [00:45<00:03, 1.01it/s]\n 94%|█████████▍| 47/50 [00:46<00:02, 1.01it/s]\n 96%|█████████▌| 48/50 [00:47<00:01, 1.01it/s]\n 98%|█████████▊| 49/50 [00:48<00:00, 1.01it/s]\n100%|██████████| 50/50 [00:49<00:00, 1.01it/s]\n100%|██████████| 50/50 [00:49<00:00, 1.01it/s]", "metrics": { "predict_time": 61.211325778, "total_time": 63.819437 }, "output": [ "https://replicate.delivery/yhqm/31nQRFem06QUECqHuzkIBrRefcO76SMmkNtaPKU0AKauEPqmA/out-0.webp", "https://replicate.delivery/yhqm/55ANfoJitegXYUWY2zDvQtNnff7m6NvkmU3m9NmlmsBfS8oaC/out-1.webp", "https://replicate.delivery/yhqm/ZOGLUMmSegReK0tjUJRufI3JIB1BSjUZejfvk9HeOKmfLxjqJA/out-2.webp", "https://replicate.delivery/yhqm/IPjocX6viDJnABeiwj68eWGCtP53QTeOlWnYYndokePeS8oaC/out-3.webp" ], "started_at": "2024-08-22T05:02:18.540112Z", "status": "succeeded", "urls": { "get": "https://api.replicate.com/v1/predictions/rjhed867fhrm60chf1vbhfce8c", "cancel": "https://api.replicate.com/v1/predictions/rjhed867fhrm60chf1vbhfce8c/cancel" }, "version": "bf772d87d563c647335dd4bdf50ca56ee5ced4fe55bf0e8ed3d7f874303ae688" }Generated inUsing seed: 48959 Prompt: A vintage black and white photograph showcases a young woman wearing traditional Circassian attire. Her elegant fasha dress features a long, white lace overcoat with flowing sleeves, cinched at the waist with an ornate belt. The dress is adorned with intricate embroidery and a dark, patterned bodice visible beneath. A white headscarf drapes gracefully over her head, framing her face in the classic Circassian style. The image captures the rich cultural heritage and refined beauty of Circassian women's fashion from a bygone era. txt2img mode Using dev model Loading LoRA weights Ensuring enough disk space... Free disk space: 9561974849536 Downloading weights 2024-08-22T05:02:18Z | INFO | [ Initiating ] chunk_size=150M dest=/src/weights-cache/41925a20b164b9c8 url=https://replicate.delivery/yhqm/wtXcKcWjsU6cOp1w1M0S5Pa3xxgzfXymMQmF8n3T7NmCz1pJA/trained_model.tar 2024-08-22T05:02:19Z | INFO | [ Complete ] dest=/src/weights-cache/41925a20b164b9c8 size="172 MB" total_elapsed=1.285s url=https://replicate.delivery/yhqm/wtXcKcWjsU6cOp1w1M0S5Pa3xxgzfXymMQmF8n3T7NmCz1pJA/trained_model.tar b'' Downloaded weights in 1.3139238357543945 seconds LoRA weights loaded successfully Token indices sequence length is longer than the specified maximum sequence length for this model (109 > 77). Running this sequence through the model will result in indexing errors The following part of your input was truncated because CLIP can only handle sequences up to 77 tokens: ["face in the classic circassian style. the image captures the rich cultural heritage and refined beauty of circassian women's fashion from a bygone era.", "face in the classic circassian style. the image captures the rich cultural heritage and refined beauty of circassian women's fashion from a bygone era.", "face in the classic circassian style. the image captures the rich cultural heritage and refined beauty of circassian women's fashion from a bygone era.", "face in the classic circassian style. the image captures the rich cultural heritage and refined beauty of circassian women's fashion from a bygone era."] 0%| | 0/50 [00:00<?, ?it/s] 2%|▏ | 1/50 [00:00<00:48, 1.01it/s] 4%|▍ | 2/50 [00:01<00:41, 1.15it/s] 6%|▌ | 3/50 [00:02<00:43, 1.08it/s] 8%|▊ | 4/50 [00:03<00:43, 1.05it/s] 10%|█ | 5/50 [00:04<00:43, 1.04it/s] 12%|█▏ | 6/50 [00:05<00:42, 1.03it/s] 14%|█▍ | 7/50 [00:06<00:42, 1.02it/s] 16%|█▌ | 8/50 [00:07<00:41, 1.02it/s] 18%|█▊ | 9/50 [00:08<00:40, 1.02it/s] 20%|██ | 10/50 [00:09<00:39, 1.01it/s] 22%|██▏ | 11/50 [00:10<00:38, 1.01it/s] 24%|██▍ | 12/50 [00:11<00:37, 1.01it/s] 26%|██▌ | 13/50 [00:12<00:36, 1.01it/s] 28%|██▊ | 14/50 [00:13<00:35, 1.01it/s] 30%|███ | 15/50 [00:14<00:34, 1.01it/s] 32%|███▏ | 16/50 [00:15<00:33, 1.01it/s] 34%|███▍ | 17/50 [00:16<00:32, 1.01it/s] 36%|███▌ | 18/50 [00:17<00:31, 1.01it/s] 38%|███▊ | 19/50 [00:18<00:30, 1.01it/s] 40%|████ | 20/50 [00:19<00:29, 1.01it/s] 42%|████▏ | 21/50 [00:20<00:28, 1.01it/s] 44%|████▍ | 22/50 [00:21<00:27, 1.01it/s] 46%|████▌ | 23/50 [00:22<00:26, 1.01it/s] 48%|████▊ | 24/50 [00:23<00:25, 1.01it/s] 50%|█████ | 25/50 [00:24<00:24, 1.01it/s] 52%|█████▏ | 26/50 [00:25<00:23, 1.01it/s] 54%|█████▍ | 27/50 [00:26<00:22, 1.01it/s] 56%|█████▌ | 28/50 [00:27<00:21, 1.01it/s] 58%|█████▊ | 29/50 [00:28<00:20, 1.01it/s] 60%|██████ | 30/50 [00:29<00:19, 1.01it/s] 62%|██████▏ | 31/50 [00:30<00:18, 1.01it/s] 64%|██████▍ | 32/50 [00:31<00:17, 1.01it/s] 66%|██████▌ | 33/50 [00:32<00:16, 1.01it/s] 68%|██████▊ | 34/50 [00:33<00:15, 1.01it/s] 70%|███████ | 35/50 [00:34<00:14, 1.01it/s] 72%|███████▏ | 36/50 [00:35<00:13, 1.01it/s] 74%|███████▍ | 37/50 [00:36<00:12, 1.01it/s] 76%|███████▌ | 38/50 [00:37<00:11, 1.01it/s] 78%|███████▊ | 39/50 [00:38<00:10, 1.01it/s] 80%|████████ | 40/50 [00:39<00:09, 1.01it/s] 82%|████████▏ | 41/50 [00:40<00:08, 1.01it/s] 84%|████████▍ | 42/50 [00:41<00:07, 1.01it/s] 86%|████████▌ | 43/50 [00:42<00:06, 1.01it/s] 88%|████████▊ | 44/50 [00:43<00:05, 1.01it/s] 90%|█████████ | 45/50 [00:44<00:04, 1.01it/s] 92%|█████████▏| 46/50 [00:45<00:03, 1.01it/s] 94%|█████████▍| 47/50 [00:46<00:02, 1.01it/s] 96%|█████████▌| 48/50 [00:47<00:01, 1.01it/s] 98%|█████████▊| 49/50 [00:48<00:00, 1.01it/s] 100%|██████████| 50/50 [00:49<00:00, 1.01it/s] 100%|██████████| 50/50 [00:49<00:00, 1.01it/s]Prediction
qunash/circassian-culture-flux-3000-steps:bf772d87d563c647335dd4bdf50ca56ee5ced4fe55bf0e8ed3d7f874303ae688ID5pppdhhxwhrm60chf1zrab6bk4StatusSucceededSourceWebHardwareH100Total durationCreatedInput
- model
- dev
- prompt
- Anime-inspired Circassian warrior woman in modernized fasha dress, wielding a shashka sword. Cherry blossoms and Caucasus mountains blend in the background. Her determined expression is the focal point.
- lora_scale
- 1
- num_outputs
- 4
- aspect_ratio
- 9:16
- output_format
- webp
- guidance_scale
- 3.5
- output_quality
- 80
- num_inference_steps
- 50
{ "model": "dev", "prompt": "Anime-inspired Circassian warrior woman in modernized fasha dress, wielding a shashka sword. Cherry blossoms and Caucasus mountains blend in the background. Her determined expression is the focal point.", "lora_scale": 1, "num_outputs": 4, "aspect_ratio": "9:16", "output_format": "webp", "guidance_scale": 3.5, "output_quality": 80, "num_inference_steps": 50 }Install Replicate’s Node.js client library:npm install replicateImport and set up the client:import Replicate from "replicate"; const replicate = new Replicate({ auth: process.env.REPLICATE_API_TOKEN, });Run qunash/circassian-culture-flux-3000-steps using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.
const output = await replicate.run( "qunash/circassian-culture-flux-3000-steps:bf772d87d563c647335dd4bdf50ca56ee5ced4fe55bf0e8ed3d7f874303ae688", { input: { model: "dev", prompt: "Anime-inspired Circassian warrior woman in modernized fasha dress, wielding a shashka sword. Cherry blossoms and Caucasus mountains blend in the background. Her determined expression is the focal point.", lora_scale: 1, num_outputs: 4, aspect_ratio: "9:16", output_format: "webp", guidance_scale: 3.5, output_quality: 80, num_inference_steps: 50 } } ); // To access the file URL: console.log(output[0].url()); //=> "http://example.com" // To write the file to disk: fs.writeFile("my-image.png", output[0]);To learn more, take a look at the guide on getting started with Node.js.
Install Replicate’s Python client library:pip install replicateImport the client:import replicateRun qunash/circassian-culture-flux-3000-steps using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.
output = replicate.run( "qunash/circassian-culture-flux-3000-steps:bf772d87d563c647335dd4bdf50ca56ee5ced4fe55bf0e8ed3d7f874303ae688", input={ "model": "dev", "prompt": "Anime-inspired Circassian warrior woman in modernized fasha dress, wielding a shashka sword. Cherry blossoms and Caucasus mountains blend in the background. Her determined expression is the focal point.", "lora_scale": 1, "num_outputs": 4, "aspect_ratio": "9:16", "output_format": "webp", "guidance_scale": 3.5, "output_quality": 80, "num_inference_steps": 50 } ) print(output)To learn more, take a look at the guide on getting started with Python.
Run qunash/circassian-culture-flux-3000-steps using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.
curl -s -X POST \ -H "Authorization: Bearer $REPLICATE_API_TOKEN" \ -H "Content-Type: application/json" \ -H "Prefer: wait" \ -d $'{ "version": "qunash/circassian-culture-flux-3000-steps:bf772d87d563c647335dd4bdf50ca56ee5ced4fe55bf0e8ed3d7f874303ae688", "input": { "model": "dev", "prompt": "Anime-inspired Circassian warrior woman in modernized fasha dress, wielding a shashka sword. Cherry blossoms and Caucasus mountains blend in the background. Her determined expression is the focal point.", "lora_scale": 1, "num_outputs": 4, "aspect_ratio": "9:16", "output_format": "webp", "guidance_scale": 3.5, "output_quality": 80, "num_inference_steps": 50 } }' \ https://api.replicate.com/v1/predictionsTo learn more, take a look at Replicate’s HTTP API reference docs.
Output
{ "completed_at": "2024-08-22T05:12:50.935924Z", "created_at": "2024-08-22T05:11:30.532000Z", "data_removed": false, "error": null, "id": "5pppdhhxwhrm60chf1zrab6bk4", "input": { "model": "dev", "prompt": "Anime-inspired Circassian warrior woman in modernized fasha dress, wielding a shashka sword. Cherry blossoms and Caucasus mountains blend in the background. Her determined expression is the focal point.", "lora_scale": 1, "num_outputs": 4, "aspect_ratio": "9:16", "output_format": "webp", "guidance_scale": 3.5, "output_quality": 80, "num_inference_steps": 50 }, "logs": "Using seed: 48079\nPrompt: Anime-inspired Circassian warrior woman in modernized fasha dress, wielding a shashka sword. Cherry blossoms and Caucasus mountains blend in the background. Her determined expression is the focal point.\ntxt2img mode\nUsing dev model\nLoading LoRA weights\nEnsuring enough disk space...\nFree disk space: 9730955841536\nDownloading weights\n2024-08-22T05:11:48Z | INFO | [ Initiating ] chunk_size=150M dest=/src/weights-cache/41925a20b164b9c8 url=https://replicate.delivery/yhqm/wtXcKcWjsU6cOp1w1M0S5Pa3xxgzfXymMQmF8n3T7NmCz1pJA/trained_model.tar\n2024-08-22T05:11:50Z | INFO | [ Complete ] dest=/src/weights-cache/41925a20b164b9c8 size=\"172 MB\" total_elapsed=1.682s url=https://replicate.delivery/yhqm/wtXcKcWjsU6cOp1w1M0S5Pa3xxgzfXymMQmF8n3T7NmCz1pJA/trained_model.tar\nb''\nDownloaded weights in 1.7104449272155762 seconds\nLoRA weights loaded successfully\n 0%| | 0/50 [00:00<?, ?it/s]\n 2%|▏ | 1/50 [00:00<00:48, 1.00it/s]\n 4%|▍ | 2/50 [00:01<00:41, 1.15it/s]\n 6%|▌ | 3/50 [00:02<00:43, 1.08it/s]\n 8%|▊ | 4/50 [00:03<00:44, 1.04it/s]\n 10%|█ | 5/50 [00:04<00:43, 1.03it/s]\n 12%|█▏ | 6/50 [00:05<00:43, 1.02it/s]\n 14%|█▍ | 7/50 [00:06<00:42, 1.01it/s]\n 16%|█▌ | 8/50 [00:07<00:41, 1.01it/s]\n 18%|█▊ | 9/50 [00:08<00:40, 1.00it/s]\n 20%|██ | 10/50 [00:09<00:39, 1.00it/s]\n 22%|██▏ | 11/50 [00:10<00:39, 1.00s/it]\n 24%|██▍ | 12/50 [00:11<00:38, 1.00s/it]\n 26%|██▌ | 13/50 [00:12<00:37, 1.00s/it]\n 28%|██▊ | 14/50 [00:13<00:36, 1.00s/it]\n 30%|███ | 15/50 [00:14<00:35, 1.00s/it]\n 32%|███▏ | 16/50 [00:15<00:34, 1.00s/it]\n 34%|███▍ | 17/50 [00:16<00:33, 1.01s/it]\n 36%|███▌ | 18/50 [00:17<00:32, 1.01s/it]\n 38%|███▊ | 19/50 [00:18<00:31, 1.01s/it]\n 40%|████ | 20/50 [00:19<00:30, 1.01s/it]\n 42%|████▏ | 21/50 [00:20<00:29, 1.01s/it]\n 44%|████▍ | 22/50 [00:21<00:28, 1.01s/it]\n 46%|████▌ | 23/50 [00:22<00:27, 1.01s/it]\n 48%|████▊ | 24/50 [00:23<00:26, 1.01s/it]\n 50%|█████ | 25/50 [00:24<00:25, 1.01s/it]\n 52%|█████▏ | 26/50 [00:25<00:24, 1.01s/it]\n 54%|█████▍ | 27/50 [00:26<00:23, 1.01s/it]\n 56%|█████▌ | 28/50 [00:27<00:22, 1.01s/it]\n 58%|█████▊ | 29/50 [00:28<00:21, 1.01s/it]\n 60%|██████ | 30/50 [00:29<00:20, 1.01s/it]\n 62%|██████▏ | 31/50 [00:30<00:19, 1.00s/it]\n 64%|██████▍ | 32/50 [00:31<00:18, 1.00s/it]\n 66%|██████▌ | 33/50 [00:32<00:17, 1.00s/it]\n 68%|██████▊ | 34/50 [00:33<00:16, 1.00s/it]\n 70%|███████ | 35/50 [00:34<00:15, 1.00s/it]\n 72%|███████▏ | 36/50 [00:35<00:14, 1.00s/it]\n 74%|███████▍ | 37/50 [00:36<00:13, 1.00s/it]\n 76%|███████▌ | 38/50 [00:37<00:12, 1.00s/it]\n 78%|███████▊ | 39/50 [00:38<00:11, 1.00s/it]\n 80%|████████ | 40/50 [00:39<00:10, 1.00s/it]\n 82%|████████▏ | 41/50 [00:40<00:09, 1.00s/it]\n 84%|████████▍ | 42/50 [00:41<00:08, 1.00s/it]\n 86%|████████▌ | 43/50 [00:42<00:07, 1.00s/it]\n 88%|████████▊ | 44/50 [00:43<00:06, 1.01s/it]\n 90%|█████████ | 45/50 [00:44<00:05, 1.00s/it]\n 92%|█████████▏| 46/50 [00:45<00:04, 1.01s/it]\n 94%|█████████▍| 47/50 [00:46<00:03, 1.01s/it]\n 96%|█████████▌| 48/50 [00:47<00:02, 1.01s/it]\n 98%|█████████▊| 49/50 [00:48<00:01, 1.00s/it]\n100%|██████████| 50/50 [00:49<00:00, 1.00s/it]\n100%|██████████| 50/50 [00:49<00:00, 1.00it/s]", "metrics": { "predict_time": 62.090599123, "total_time": 80.403924 }, "output": [ "https://replicate.delivery/yhqm/JSt8CxJTgCLjGRH9YfeQnAjfpIDI1ObsxJjEjlc1Tu2lWPqmA/out-0.webp", "https://replicate.delivery/yhqm/0IydvldeCawWN6KCSEtFWKv3BDKeggZXeFFqRb9t6HQlWPqmA/out-1.webp", "https://replicate.delivery/yhqm/VbuSwtFUNvrkKJfnKBX7txex5eeh3xI3PYtu9hCN59IKteoaC/out-2.webp", "https://replicate.delivery/yhqm/0gKX56b3onJJMBEq49UzcKEofXySijffFE1zIdz80QklWPqmA/out-3.webp" ], "started_at": "2024-08-22T05:11:48.845324Z", "status": "succeeded", "urls": { "get": "https://api.replicate.com/v1/predictions/5pppdhhxwhrm60chf1zrab6bk4", "cancel": "https://api.replicate.com/v1/predictions/5pppdhhxwhrm60chf1zrab6bk4/cancel" }, "version": "bf772d87d563c647335dd4bdf50ca56ee5ced4fe55bf0e8ed3d7f874303ae688" }Generated inUsing seed: 48079 Prompt: Anime-inspired Circassian warrior woman in modernized fasha dress, wielding a shashka sword. Cherry blossoms and Caucasus mountains blend in the background. Her determined expression is the focal point. txt2img mode Using dev model Loading LoRA weights Ensuring enough disk space... Free disk space: 9730955841536 Downloading weights 2024-08-22T05:11:48Z | INFO | [ Initiating ] chunk_size=150M dest=/src/weights-cache/41925a20b164b9c8 url=https://replicate.delivery/yhqm/wtXcKcWjsU6cOp1w1M0S5Pa3xxgzfXymMQmF8n3T7NmCz1pJA/trained_model.tar 2024-08-22T05:11:50Z | INFO | [ Complete ] dest=/src/weights-cache/41925a20b164b9c8 size="172 MB" total_elapsed=1.682s url=https://replicate.delivery/yhqm/wtXcKcWjsU6cOp1w1M0S5Pa3xxgzfXymMQmF8n3T7NmCz1pJA/trained_model.tar b'' Downloaded weights in 1.7104449272155762 seconds LoRA weights loaded successfully 0%| | 0/50 [00:00<?, ?it/s] 2%|▏ | 1/50 [00:00<00:48, 1.00it/s] 4%|▍ | 2/50 [00:01<00:41, 1.15it/s] 6%|▌ | 3/50 [00:02<00:43, 1.08it/s] 8%|▊ | 4/50 [00:03<00:44, 1.04it/s] 10%|█ | 5/50 [00:04<00:43, 1.03it/s] 12%|█▏ | 6/50 [00:05<00:43, 1.02it/s] 14%|█▍ | 7/50 [00:06<00:42, 1.01it/s] 16%|█▌ | 8/50 [00:07<00:41, 1.01it/s] 18%|█▊ | 9/50 [00:08<00:40, 1.00it/s] 20%|██ | 10/50 [00:09<00:39, 1.00it/s] 22%|██▏ | 11/50 [00:10<00:39, 1.00s/it] 24%|██▍ | 12/50 [00:11<00:38, 1.00s/it] 26%|██▌ | 13/50 [00:12<00:37, 1.00s/it] 28%|██▊ | 14/50 [00:13<00:36, 1.00s/it] 30%|███ | 15/50 [00:14<00:35, 1.00s/it] 32%|███▏ | 16/50 [00:15<00:34, 1.00s/it] 34%|███▍ | 17/50 [00:16<00:33, 1.01s/it] 36%|███▌ | 18/50 [00:17<00:32, 1.01s/it] 38%|███▊ | 19/50 [00:18<00:31, 1.01s/it] 40%|████ | 20/50 [00:19<00:30, 1.01s/it] 42%|████▏ | 21/50 [00:20<00:29, 1.01s/it] 44%|████▍ | 22/50 [00:21<00:28, 1.01s/it] 46%|████▌ | 23/50 [00:22<00:27, 1.01s/it] 48%|████▊ | 24/50 [00:23<00:26, 1.01s/it] 50%|█████ | 25/50 [00:24<00:25, 1.01s/it] 52%|█████▏ | 26/50 [00:25<00:24, 1.01s/it] 54%|█████▍ | 27/50 [00:26<00:23, 1.01s/it] 56%|█████▌ | 28/50 [00:27<00:22, 1.01s/it] 58%|█████▊ | 29/50 [00:28<00:21, 1.01s/it] 60%|██████ | 30/50 [00:29<00:20, 1.01s/it] 62%|██████▏ | 31/50 [00:30<00:19, 1.00s/it] 64%|██████▍ | 32/50 [00:31<00:18, 1.00s/it] 66%|██████▌ | 33/50 [00:32<00:17, 1.00s/it] 68%|██████▊ | 34/50 [00:33<00:16, 1.00s/it] 70%|███████ | 35/50 [00:34<00:15, 1.00s/it] 72%|███████▏ | 36/50 [00:35<00:14, 1.00s/it] 74%|███████▍ | 37/50 [00:36<00:13, 1.00s/it] 76%|███████▌ | 38/50 [00:37<00:12, 1.00s/it] 78%|███████▊ | 39/50 [00:38<00:11, 1.00s/it] 80%|████████ | 40/50 [00:39<00:10, 1.00s/it] 82%|████████▏ | 41/50 [00:40<00:09, 1.00s/it] 84%|████████▍ | 42/50 [00:41<00:08, 1.00s/it] 86%|████████▌ | 43/50 [00:42<00:07, 1.00s/it] 88%|████████▊ | 44/50 [00:43<00:06, 1.01s/it] 90%|█████████ | 45/50 [00:44<00:05, 1.00s/it] 92%|█████████▏| 46/50 [00:45<00:04, 1.01s/it] 94%|█████████▍| 47/50 [00:46<00:03, 1.01s/it] 96%|█████████▌| 48/50 [00:47<00:02, 1.01s/it] 98%|█████████▊| 49/50 [00:48<00:01, 1.00s/it] 100%|██████████| 50/50 [00:49<00:00, 1.00s/it] 100%|██████████| 50/50 [00:49<00:00, 1.00it/s]Prediction
qunash/circassian-culture-flux-3000-steps:bf772d87d563c647335dd4bdf50ca56ee5ced4fe55bf0e8ed3d7f874303ae688IDeek6mdzfhhrm40chq2p8bab6jrStatusSucceededSourceWebHardwareH100Total durationCreatedInput
- model
- dev
- prompt
- A hyper-realistic portrait of an extraordinarily beautiful woman, captured in a full-body pose exuding elegance and sophistication. She is adorned in an autumn-inspired Circassian dress, its vibrant hues mirroring the rich, warm colors of falling leaves, creating a visually striking effect. The autumnal lighting in the background enhances the brilliance of her attire and highlights the intricate textures of the fabric. Her pose and expression convey an undeniable sense of confidence and strength, making her presence both powerful and captivating. By Sasan
- lora_scale
- 1
- num_outputs
- 4
- aspect_ratio
- 1:1
- output_format
- webp
- guidance_scale
- 3.5
- output_quality
- 80
- extra_lora_scale
- 0.8
- num_inference_steps
- 50
{ "model": "dev", "prompt": "A hyper-realistic portrait of an extraordinarily beautiful woman, captured in a full-body pose exuding elegance and sophistication. She is adorned in an autumn-inspired Circassian dress, its vibrant hues mirroring the rich, warm colors of falling leaves, creating a visually striking effect. The autumnal lighting in the background enhances the brilliance of her attire and highlights the intricate textures of the fabric. Her pose and expression convey an undeniable sense of confidence and strength, making her presence both powerful and captivating. By Sasan", "lora_scale": 1, "num_outputs": 4, "aspect_ratio": "1:1", "output_format": "webp", "guidance_scale": 3.5, "output_quality": 80, "extra_lora_scale": 0.8, "num_inference_steps": 50 }Install Replicate’s Node.js client library:npm install replicateImport and set up the client:import Replicate from "replicate"; const replicate = new Replicate({ auth: process.env.REPLICATE_API_TOKEN, });Run qunash/circassian-culture-flux-3000-steps using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.
const output = await replicate.run( "qunash/circassian-culture-flux-3000-steps:bf772d87d563c647335dd4bdf50ca56ee5ced4fe55bf0e8ed3d7f874303ae688", { input: { model: "dev", prompt: "A hyper-realistic portrait of an extraordinarily beautiful woman, captured in a full-body pose exuding elegance and sophistication. She is adorned in an autumn-inspired Circassian dress, its vibrant hues mirroring the rich, warm colors of falling leaves, creating a visually striking effect. The autumnal lighting in the background enhances the brilliance of her attire and highlights the intricate textures of the fabric. Her pose and expression convey an undeniable sense of confidence and strength, making her presence both powerful and captivating. By Sasan", lora_scale: 1, num_outputs: 4, aspect_ratio: "1:1", output_format: "webp", guidance_scale: 3.5, output_quality: 80, extra_lora_scale: 0.8, num_inference_steps: 50 } } ); // To access the file URL: console.log(output[0].url()); //=> "http://example.com" // To write the file to disk: fs.writeFile("my-image.png", output[0]);To learn more, take a look at the guide on getting started with Node.js.
Install Replicate’s Python client library:pip install replicateImport the client:import replicateRun qunash/circassian-culture-flux-3000-steps using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.
output = replicate.run( "qunash/circassian-culture-flux-3000-steps:bf772d87d563c647335dd4bdf50ca56ee5ced4fe55bf0e8ed3d7f874303ae688", input={ "model": "dev", "prompt": "A hyper-realistic portrait of an extraordinarily beautiful woman, captured in a full-body pose exuding elegance and sophistication. She is adorned in an autumn-inspired Circassian dress, its vibrant hues mirroring the rich, warm colors of falling leaves, creating a visually striking effect. The autumnal lighting in the background enhances the brilliance of her attire and highlights the intricate textures of the fabric. Her pose and expression convey an undeniable sense of confidence and strength, making her presence both powerful and captivating. By Sasan", "lora_scale": 1, "num_outputs": 4, "aspect_ratio": "1:1", "output_format": "webp", "guidance_scale": 3.5, "output_quality": 80, "extra_lora_scale": 0.8, "num_inference_steps": 50 } ) print(output)To learn more, take a look at the guide on getting started with Python.
Run qunash/circassian-culture-flux-3000-steps using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.
curl -s -X POST \ -H "Authorization: Bearer $REPLICATE_API_TOKEN" \ -H "Content-Type: application/json" \ -H "Prefer: wait" \ -d $'{ "version": "qunash/circassian-culture-flux-3000-steps:bf772d87d563c647335dd4bdf50ca56ee5ced4fe55bf0e8ed3d7f874303ae688", "input": { "model": "dev", "prompt": "A hyper-realistic portrait of an extraordinarily beautiful woman, captured in a full-body pose exuding elegance and sophistication. She is adorned in an autumn-inspired Circassian dress, its vibrant hues mirroring the rich, warm colors of falling leaves, creating a visually striking effect. The autumnal lighting in the background enhances the brilliance of her attire and highlights the intricate textures of the fabric. Her pose and expression convey an undeniable sense of confidence and strength, making her presence both powerful and captivating. By Sasan", "lora_scale": 1, "num_outputs": 4, "aspect_ratio": "1:1", "output_format": "webp", "guidance_scale": 3.5, "output_quality": 80, "extra_lora_scale": 0.8, "num_inference_steps": 50 } }' \ https://api.replicate.com/v1/predictionsTo learn more, take a look at Replicate’s HTTP API reference docs.
Output
{ "completed_at": "2024-09-03T16:19:55.398567Z", "created_at": "2024-09-03T16:17:06.956000Z", "data_removed": false, "error": null, "id": "eek6mdzfhhrm40chq2p8bab6jr", "input": { "model": "dev", "prompt": "A hyper-realistic portrait of an extraordinarily beautiful woman, captured in a full-body pose exuding elegance and sophistication. She is adorned in an autumn-inspired Circassian dress, its vibrant hues mirroring the rich, warm colors of falling leaves, creating a visually striking effect. The autumnal lighting in the background enhances the brilliance of her attire and highlights the intricate textures of the fabric. Her pose and expression convey an undeniable sense of confidence and strength, making her presence both powerful and captivating. By Sasan", "lora_scale": 1, "num_outputs": 4, "aspect_ratio": "1:1", "output_format": "webp", "guidance_scale": 3.5, "output_quality": 80, "extra_lora_scale": 0.8, "num_inference_steps": 50 }, "logs": "Using seed: 48690\nPrompt: A hyper-realistic portrait of an extraordinarily beautiful woman, captured in a full-body pose exuding elegance and sophistication. She is adorned in an autumn-inspired Circassian dress, its vibrant hues mirroring the rich, warm colors of falling leaves, creating a visually striking effect. The autumnal lighting in the background enhances the brilliance of her attire and highlights the intricate textures of the fabric. Her pose and expression convey an undeniable sense of confidence and strength, making her presence both powerful and captivating. By Sasan\ntxt2img mode\nUsing dev model\nfree=9140442677248\nDownloading weights\n2024-09-03T16:17:07Z | INFO | [ Initiating ] chunk_size=150M dest=/tmp/tmpxmgo9zrt/weights url=https://replicate.delivery/yhqm/wtXcKcWjsU6cOp1w1M0S5Pa3xxgzfXymMQmF8n3T7NmCz1pJA/trained_model.tar\n2024-09-03T16:17:09Z | INFO | [ Complete ] dest=/tmp/tmpxmgo9zrt/weights size=\"172 MB\" total_elapsed=2.263s url=https://replicate.delivery/yhqm/wtXcKcWjsU6cOp1w1M0S5Pa3xxgzfXymMQmF8n3T7NmCz1pJA/trained_model.tar\nDownloaded weights in 2.29s\nLoaded LoRAs in 115.56s\nThe following part of your input was truncated because CLIP can only handle sequences up to 77 tokens: ['the intricate textures of the fabric. her pose and expression convey an undeniable sense of confidence and strength, making her presence both powerful and captivating. by sasan', 'the intricate textures of the fabric. her pose and expression convey an undeniable sense of confidence and strength, making her presence both powerful and captivating. by sasan', 'the intricate textures of the fabric. her pose and expression convey an undeniable sense of confidence and strength, making her presence both powerful and captivating. by sasan', 'the intricate textures of the fabric. her pose and expression convey an undeniable sense of confidence and strength, making her presence both powerful and captivating. by sasan']\n 0%| | 0/50 [00:00<?, ?it/s]\n 2%|▏ | 1/50 [00:01<00:49, 1.01s/it]\n 4%|▍ | 2/50 [00:01<00:42, 1.13it/s]\n 6%|▌ | 3/50 [00:02<00:44, 1.06it/s]\n 8%|▊ | 4/50 [00:03<00:44, 1.03it/s]\n 10%|█ | 5/50 [00:04<00:44, 1.01it/s]\n 12%|█▏ | 6/50 [00:05<00:44, 1.00s/it]\n 14%|█▍ | 7/50 [00:06<00:43, 1.01s/it]\n 16%|█▌ | 8/50 [00:07<00:42, 1.01s/it]\n 18%|█▊ | 9/50 [00:08<00:41, 1.01s/it]\n 20%|██ | 10/50 [00:09<00:40, 1.01s/it]\n 22%|██▏ | 11/50 [00:10<00:39, 1.02s/it]\n 24%|██▍ | 12/50 [00:12<00:38, 1.02s/it]\n 26%|██▌ | 13/50 [00:13<00:37, 1.02s/it]\n 28%|██▊ | 14/50 [00:14<00:36, 1.02s/it]\n 30%|███ | 15/50 [00:15<00:35, 1.02s/it]\n 32%|███▏ | 16/50 [00:16<00:34, 1.02s/it]\n 34%|███▍ | 17/50 [00:17<00:33, 1.02s/it]\n 36%|███▌ | 18/50 [00:18<00:32, 1.03s/it]\n 38%|███▊ | 19/50 [00:19<00:31, 1.03s/it]\n 40%|████ | 20/50 [00:20<00:30, 1.03s/it]\n 42%|████▏ | 21/50 [00:21<00:29, 1.03s/it]\n 44%|████▍ | 22/50 [00:22<00:28, 1.03s/it]\n 46%|████▌ | 23/50 [00:23<00:27, 1.03s/it]\n 48%|████▊ | 24/50 [00:24<00:26, 1.03s/it]\n 50%|█████ | 25/50 [00:25<00:25, 1.03s/it]\n 52%|█████▏ | 26/50 [00:26<00:24, 1.03s/it]\n 54%|█████▍ | 27/50 [00:27<00:23, 1.03s/it]\n 56%|█████▌ | 28/50 [00:28<00:22, 1.03s/it]\n 58%|█████▊ | 29/50 [00:29<00:21, 1.03s/it]\n 60%|██████ | 30/50 [00:30<00:20, 1.03s/it]\n 62%|██████▏ | 31/50 [00:31<00:19, 1.03s/it]\n 64%|██████▍ | 32/50 [00:32<00:18, 1.03s/it]\n 66%|██████▌ | 33/50 [00:33<00:17, 1.03s/it]\n 68%|██████▊ | 34/50 [00:34<00:16, 1.03s/it]\n 70%|███████ | 35/50 [00:35<00:15, 1.03s/it]\n 72%|███████▏ | 36/50 [00:36<00:14, 1.03s/it]\n 74%|███████▍ | 37/50 [00:37<00:13, 1.03s/it]\n 76%|███████▌ | 38/50 [00:38<00:12, 1.03s/it]\n 78%|███████▊ | 39/50 [00:39<00:11, 1.03s/it]\n 80%|████████ | 40/50 [00:40<00:10, 1.03s/it]\n 82%|████████▏ | 41/50 [00:41<00:09, 1.03s/it]\n 84%|████████▍ | 42/50 [00:42<00:08, 1.03s/it]\n 86%|████████▌ | 43/50 [00:43<00:07, 1.03s/it]\n 88%|████████▊ | 44/50 [00:44<00:06, 1.03s/it]\n 90%|█████████ | 45/50 [00:45<00:05, 1.03s/it]\n 92%|█████████▏| 46/50 [00:46<00:04, 1.03s/it]\n 94%|█████████▍| 47/50 [00:47<00:03, 1.03s/it]\n 96%|█████████▌| 48/50 [00:49<00:02, 1.03s/it]\n 98%|█████████▊| 49/50 [00:50<00:01, 1.03s/it]\n100%|██████████| 50/50 [00:51<00:00, 1.03s/it]\n100%|██████████| 50/50 [00:51<00:00, 1.02s/it]", "metrics": { "predict_time": 168.434550214, "total_time": 168.442567 }, "output": [ "https://replicate.delivery/yhqm/J5xUGo2YkP5QKpU9Hu194Saiu98iojFzJqJ1EashArvKpT2E/out-0.webp", "https://replicate.delivery/yhqm/j8emoFfXrJmbfIyB8xcke3P25VgU34I4owIKU1tdzMtsS6kNB/out-1.webp", "https://replicate.delivery/yhqm/TDNRSFPXKVKjM9kE7ZErLHybTiHsAp3l4XPaLLTOTp5KpT2E/out-2.webp", "https://replicate.delivery/yhqm/zwu2S3O589bhJB8vWcqccEzf0ANNEjxz17BfWI71lWmrkOZTA/out-3.webp" ], "started_at": "2024-09-03T16:17:06.964017Z", "status": "succeeded", "urls": { "get": "https://api.replicate.com/v1/predictions/eek6mdzfhhrm40chq2p8bab6jr", "cancel": "https://api.replicate.com/v1/predictions/eek6mdzfhhrm40chq2p8bab6jr/cancel" }, "version": "bf772d87d563c647335dd4bdf50ca56ee5ced4fe55bf0e8ed3d7f874303ae688" }Generated inUsing seed: 48690 Prompt: A hyper-realistic portrait of an extraordinarily beautiful woman, captured in a full-body pose exuding elegance and sophistication. She is adorned in an autumn-inspired Circassian dress, its vibrant hues mirroring the rich, warm colors of falling leaves, creating a visually striking effect. The autumnal lighting in the background enhances the brilliance of her attire and highlights the intricate textures of the fabric. Her pose and expression convey an undeniable sense of confidence and strength, making her presence both powerful and captivating. By Sasan txt2img mode Using dev model free=9140442677248 Downloading weights 2024-09-03T16:17:07Z | INFO | [ Initiating ] chunk_size=150M dest=/tmp/tmpxmgo9zrt/weights url=https://replicate.delivery/yhqm/wtXcKcWjsU6cOp1w1M0S5Pa3xxgzfXymMQmF8n3T7NmCz1pJA/trained_model.tar 2024-09-03T16:17:09Z | INFO | [ Complete ] dest=/tmp/tmpxmgo9zrt/weights size="172 MB" total_elapsed=2.263s url=https://replicate.delivery/yhqm/wtXcKcWjsU6cOp1w1M0S5Pa3xxgzfXymMQmF8n3T7NmCz1pJA/trained_model.tar Downloaded weights in 2.29s Loaded LoRAs in 115.56s The following part of your input was truncated because CLIP can only handle sequences up to 77 tokens: ['the intricate textures of the fabric. her pose and expression convey an undeniable sense of confidence and strength, making her presence both powerful and captivating. by sasan', 'the intricate textures of the fabric. her pose and expression convey an undeniable sense of confidence and strength, making her presence both powerful and captivating. by sasan', 'the intricate textures of the fabric. her pose and expression convey an undeniable sense of confidence and strength, making her presence both powerful and captivating. by sasan', 'the intricate textures of the fabric. her pose and expression convey an undeniable sense of confidence and strength, making her presence both powerful and captivating. by sasan'] 0%| | 0/50 [00:00<?, ?it/s] 2%|▏ | 1/50 [00:01<00:49, 1.01s/it] 4%|▍ | 2/50 [00:01<00:42, 1.13it/s] 6%|▌ | 3/50 [00:02<00:44, 1.06it/s] 8%|▊ | 4/50 [00:03<00:44, 1.03it/s] 10%|█ | 5/50 [00:04<00:44, 1.01it/s] 12%|█▏ | 6/50 [00:05<00:44, 1.00s/it] 14%|█▍ | 7/50 [00:06<00:43, 1.01s/it] 16%|█▌ | 8/50 [00:07<00:42, 1.01s/it] 18%|█▊ | 9/50 [00:08<00:41, 1.01s/it] 20%|██ | 10/50 [00:09<00:40, 1.01s/it] 22%|██▏ | 11/50 [00:10<00:39, 1.02s/it] 24%|██▍ | 12/50 [00:12<00:38, 1.02s/it] 26%|██▌ | 13/50 [00:13<00:37, 1.02s/it] 28%|██▊ | 14/50 [00:14<00:36, 1.02s/it] 30%|███ | 15/50 [00:15<00:35, 1.02s/it] 32%|███▏ | 16/50 [00:16<00:34, 1.02s/it] 34%|███▍ | 17/50 [00:17<00:33, 1.02s/it] 36%|███▌ | 18/50 [00:18<00:32, 1.03s/it] 38%|███▊ | 19/50 [00:19<00:31, 1.03s/it] 40%|████ | 20/50 [00:20<00:30, 1.03s/it] 42%|████▏ | 21/50 [00:21<00:29, 1.03s/it] 44%|████▍ | 22/50 [00:22<00:28, 1.03s/it] 46%|████▌ | 23/50 [00:23<00:27, 1.03s/it] 48%|████▊ | 24/50 [00:24<00:26, 1.03s/it] 50%|█████ | 25/50 [00:25<00:25, 1.03s/it] 52%|█████▏ | 26/50 [00:26<00:24, 1.03s/it] 54%|█████▍ | 27/50 [00:27<00:23, 1.03s/it] 56%|█████▌ | 28/50 [00:28<00:22, 1.03s/it] 58%|█████▊ | 29/50 [00:29<00:21, 1.03s/it] 60%|██████ | 30/50 [00:30<00:20, 1.03s/it] 62%|██████▏ | 31/50 [00:31<00:19, 1.03s/it] 64%|██████▍ | 32/50 [00:32<00:18, 1.03s/it] 66%|██████▌ | 33/50 [00:33<00:17, 1.03s/it] 68%|██████▊ | 34/50 [00:34<00:16, 1.03s/it] 70%|███████ | 35/50 [00:35<00:15, 1.03s/it] 72%|███████▏ | 36/50 [00:36<00:14, 1.03s/it] 74%|███████▍ | 37/50 [00:37<00:13, 1.03s/it] 76%|███████▌ | 38/50 [00:38<00:12, 1.03s/it] 78%|███████▊ | 39/50 [00:39<00:11, 1.03s/it] 80%|████████ | 40/50 [00:40<00:10, 1.03s/it] 82%|████████▏ | 41/50 [00:41<00:09, 1.03s/it] 84%|████████▍ | 42/50 [00:42<00:08, 1.03s/it] 86%|████████▌ | 43/50 [00:43<00:07, 1.03s/it] 88%|████████▊ | 44/50 [00:44<00:06, 1.03s/it] 90%|█████████ | 45/50 [00:45<00:05, 1.03s/it] 92%|█████████▏| 46/50 [00:46<00:04, 1.03s/it] 94%|█████████▍| 47/50 [00:47<00:03, 1.03s/it] 96%|█████████▌| 48/50 [00:49<00:02, 1.03s/it] 98%|█████████▊| 49/50 [00:50<00:01, 1.03s/it] 100%|██████████| 50/50 [00:51<00:00, 1.03s/it] 100%|██████████| 50/50 [00:51<00:00, 1.02s/it]Prediction
qunash/circassian-culture-flux-3000-steps:bf772d87d563c647335dd4bdf50ca56ee5ced4fe55bf0e8ed3d7f874303ae688ID0ncfvnhjw9rm00chhqrt37bxfmStatusSucceededSourceWebHardwareH100Total durationCreatedInput
- model
- dev
- prompt
- A radiant, regal Circassian woman at the center, glowing with golden light, with flowing hair like solar flares and a warm, powerful aura. Their clothing could be adorned with patterns resembling sunspots and solar winds.The background should be a stylized representation of space, with swirling galaxies, stars, and nebulae, emphasizing the cosmic scale of these personified celestial beings.
- lora_scale
- 1
- num_outputs
- 4
- aspect_ratio
- 1:1
- output_format
- webp
- guidance_scale
- 3.5
- output_quality
- 80
- num_inference_steps
- 28
{ "model": "dev", "prompt": "A radiant, regal Circassian woman at the center, glowing with golden light, with flowing hair like solar flares and a warm, powerful aura. Their clothing could be adorned with patterns resembling sunspots and solar winds.The background should be a stylized representation of space, with swirling galaxies, stars, and nebulae, emphasizing the cosmic scale of these personified celestial beings.", "lora_scale": 1, "num_outputs": 4, "aspect_ratio": "1:1", "output_format": "webp", "guidance_scale": 3.5, "output_quality": 80, "num_inference_steps": 28 }Install Replicate’s Node.js client library:npm install replicateImport and set up the client:import Replicate from "replicate"; const replicate = new Replicate({ auth: process.env.REPLICATE_API_TOKEN, });Run qunash/circassian-culture-flux-3000-steps using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.
const output = await replicate.run( "qunash/circassian-culture-flux-3000-steps:bf772d87d563c647335dd4bdf50ca56ee5ced4fe55bf0e8ed3d7f874303ae688", { input: { model: "dev", prompt: "A radiant, regal Circassian woman at the center, glowing with golden light, with flowing hair like solar flares and a warm, powerful aura. Their clothing could be adorned with patterns resembling sunspots and solar winds.The background should be a stylized representation of space, with swirling galaxies, stars, and nebulae, emphasizing the cosmic scale of these personified celestial beings.", lora_scale: 1, num_outputs: 4, aspect_ratio: "1:1", output_format: "webp", guidance_scale: 3.5, output_quality: 80, num_inference_steps: 28 } } ); // To access the file URL: console.log(output[0].url()); //=> "http://example.com" // To write the file to disk: fs.writeFile("my-image.png", output[0]);To learn more, take a look at the guide on getting started with Node.js.
Install Replicate’s Python client library:pip install replicateImport the client:import replicateRun qunash/circassian-culture-flux-3000-steps using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.
output = replicate.run( "qunash/circassian-culture-flux-3000-steps:bf772d87d563c647335dd4bdf50ca56ee5ced4fe55bf0e8ed3d7f874303ae688", input={ "model": "dev", "prompt": "A radiant, regal Circassian woman at the center, glowing with golden light, with flowing hair like solar flares and a warm, powerful aura. Their clothing could be adorned with patterns resembling sunspots and solar winds.The background should be a stylized representation of space, with swirling galaxies, stars, and nebulae, emphasizing the cosmic scale of these personified celestial beings.", "lora_scale": 1, "num_outputs": 4, "aspect_ratio": "1:1", "output_format": "webp", "guidance_scale": 3.5, "output_quality": 80, "num_inference_steps": 28 } ) print(output)To learn more, take a look at the guide on getting started with Python.
Run qunash/circassian-culture-flux-3000-steps using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.
curl -s -X POST \ -H "Authorization: Bearer $REPLICATE_API_TOKEN" \ -H "Content-Type: application/json" \ -H "Prefer: wait" \ -d $'{ "version": "qunash/circassian-culture-flux-3000-steps:bf772d87d563c647335dd4bdf50ca56ee5ced4fe55bf0e8ed3d7f874303ae688", "input": { "model": "dev", "prompt": "A radiant, regal Circassian woman at the center, glowing with golden light, with flowing hair like solar flares and a warm, powerful aura. Their clothing could be adorned with patterns resembling sunspots and solar winds.The background should be a stylized representation of space, with swirling galaxies, stars, and nebulae, emphasizing the cosmic scale of these personified celestial beings.", "lora_scale": 1, "num_outputs": 4, "aspect_ratio": "1:1", "output_format": "webp", "guidance_scale": 3.5, "output_quality": 80, "num_inference_steps": 28 } }' \ https://api.replicate.com/v1/predictionsTo learn more, take a look at Replicate’s HTTP API reference docs.
Output
{ "completed_at": "2024-08-26T09:08:39.429076Z", "created_at": "2024-08-26T09:08:00.354000Z", "data_removed": false, "error": null, "id": "0ncfvnhjw9rm00chhqrt37bxfm", "input": { "model": "dev", "prompt": "A radiant, regal Circassian woman at the center, glowing with golden light, with flowing hair like solar flares and a warm, powerful aura. Their clothing could be adorned with patterns resembling sunspots and solar winds.The background should be a stylized representation of space, with swirling galaxies, stars, and nebulae, emphasizing the cosmic scale of these personified celestial beings.", "lora_scale": 1, "num_outputs": 4, "aspect_ratio": "1:1", "output_format": "webp", "guidance_scale": 3.5, "output_quality": 80, "num_inference_steps": 28 }, "logs": "Using seed: 27850\nPrompt: A radiant, regal Circassian woman at the center, glowing with golden light, with flowing hair like solar flares and a warm, powerful aura. Their clothing could be adorned with patterns resembling sunspots and solar winds.The background should be a stylized representation of space, with swirling galaxies, stars, and nebulae, emphasizing the cosmic scale of these personified celestial beings.\ntxt2img mode\nUsing dev model\nLoaded LoRAs in 9.48s\nThe following part of your input was truncated because CLIP can only handle sequences up to 77 tokens: ['personified celestial beings.', 'personified celestial beings.', 'personified celestial beings.', 'personified celestial beings.']\n 0%| | 0/28 [00:00<?, ?it/s]\n 4%|▎ | 1/28 [00:00<00:26, 1.00it/s]\n 7%|▋ | 2/28 [00:01<00:22, 1.14it/s]\n 11%|█ | 3/28 [00:02<00:23, 1.07it/s]\n 14%|█▍ | 4/28 [00:03<00:22, 1.04it/s]\n 18%|█▊ | 5/28 [00:04<00:22, 1.03it/s]\n 21%|██▏ | 6/28 [00:05<00:21, 1.02it/s]\n 25%|██▌ | 7/28 [00:06<00:20, 1.01it/s]\n 29%|██▊ | 8/28 [00:07<00:19, 1.01it/s]\n 32%|███▏ | 9/28 [00:08<00:18, 1.01it/s]\n 36%|███▌ | 10/28 [00:09<00:17, 1.00it/s]\n 39%|███▉ | 11/28 [00:10<00:16, 1.00it/s]\n 43%|████▎ | 12/28 [00:11<00:16, 1.00s/it]\n 46%|████▋ | 13/28 [00:12<00:15, 1.00s/it]\n 50%|█████ | 14/28 [00:13<00:14, 1.00s/it]\n 54%|█████▎ | 15/28 [00:14<00:13, 1.00s/it]\n 57%|█████▋ | 16/28 [00:15<00:12, 1.00s/it]\n 61%|██████ | 17/28 [00:16<00:11, 1.00s/it]\n 64%|██████▍ | 18/28 [00:17<00:10, 1.00s/it]\n 68%|██████▊ | 19/28 [00:18<00:09, 1.00s/it]\n 71%|███████▏ | 20/28 [00:19<00:08, 1.00s/it]\n 75%|███████▌ | 21/28 [00:20<00:07, 1.00s/it]\n 79%|███████▊ | 22/28 [00:21<00:06, 1.01s/it]\n 82%|████████▏ | 23/28 [00:22<00:05, 1.01s/it]\n 86%|████████▌ | 24/28 [00:23<00:04, 1.01s/it]\n 89%|████████▉ | 25/28 [00:24<00:03, 1.00s/it]\n 93%|█████████▎| 26/28 [00:25<00:02, 1.00s/it]\n 96%|█████████▋| 27/28 [00:26<00:01, 1.01s/it]\n100%|██████████| 28/28 [00:27<00:00, 1.01s/it]\n100%|██████████| 28/28 [00:27<00:00, 1.00it/s]", "metrics": { "predict_time": 39.065478007, "total_time": 39.075076 }, "output": [ "https://replicate.delivery/yhqm/iPeH2sX3fruyeJQWQIIoyI2TPWNee6v6YSy5FAs254O6C8zaC/out-0.webp", "https://replicate.delivery/yhqm/uLEuE5261ZKKFJldM5pq307OBT8lJoJo4eFkZlpZZEuLwPrJA/out-1.webp", "https://replicate.delivery/yhqm/iUdcfBpooI3LLqG1hvdspk2To4TSeznC1A4Zbzmf03VvAfZNB/out-2.webp", "https://replicate.delivery/yhqm/Q3Jvsc1ezK2gFqXktWYJIrZRJaEoV0jCkbXoB26ujTeXgfsmA/out-3.webp" ], "started_at": "2024-08-26T09:08:00.363598Z", "status": "succeeded", "urls": { "get": "https://api.replicate.com/v1/predictions/0ncfvnhjw9rm00chhqrt37bxfm", "cancel": "https://api.replicate.com/v1/predictions/0ncfvnhjw9rm00chhqrt37bxfm/cancel" }, "version": "bf772d87d563c647335dd4bdf50ca56ee5ced4fe55bf0e8ed3d7f874303ae688" }Generated inUsing seed: 27850 Prompt: A radiant, regal Circassian woman at the center, glowing with golden light, with flowing hair like solar flares and a warm, powerful aura. Their clothing could be adorned with patterns resembling sunspots and solar winds.The background should be a stylized representation of space, with swirling galaxies, stars, and nebulae, emphasizing the cosmic scale of these personified celestial beings. txt2img mode Using dev model Loaded LoRAs in 9.48s The following part of your input was truncated because CLIP can only handle sequences up to 77 tokens: ['personified celestial beings.', 'personified celestial beings.', 'personified celestial beings.', 'personified celestial beings.'] 0%| | 0/28 [00:00<?, ?it/s] 4%|▎ | 1/28 [00:00<00:26, 1.00it/s] 7%|▋ | 2/28 [00:01<00:22, 1.14it/s] 11%|█ | 3/28 [00:02<00:23, 1.07it/s] 14%|█▍ | 4/28 [00:03<00:22, 1.04it/s] 18%|█▊ | 5/28 [00:04<00:22, 1.03it/s] 21%|██▏ | 6/28 [00:05<00:21, 1.02it/s] 25%|██▌ | 7/28 [00:06<00:20, 1.01it/s] 29%|██▊ | 8/28 [00:07<00:19, 1.01it/s] 32%|███▏ | 9/28 [00:08<00:18, 1.01it/s] 36%|███▌ | 10/28 [00:09<00:17, 1.00it/s] 39%|███▉ | 11/28 [00:10<00:16, 1.00it/s] 43%|████▎ | 12/28 [00:11<00:16, 1.00s/it] 46%|████▋ | 13/28 [00:12<00:15, 1.00s/it] 50%|█████ | 14/28 [00:13<00:14, 1.00s/it] 54%|█████▎ | 15/28 [00:14<00:13, 1.00s/it] 57%|█████▋ | 16/28 [00:15<00:12, 1.00s/it] 61%|██████ | 17/28 [00:16<00:11, 1.00s/it] 64%|██████▍ | 18/28 [00:17<00:10, 1.00s/it] 68%|██████▊ | 19/28 [00:18<00:09, 1.00s/it] 71%|███████▏ | 20/28 [00:19<00:08, 1.00s/it] 75%|███████▌ | 21/28 [00:20<00:07, 1.00s/it] 79%|███████▊ | 22/28 [00:21<00:06, 1.01s/it] 82%|████████▏ | 23/28 [00:22<00:05, 1.01s/it] 86%|████████▌ | 24/28 [00:23<00:04, 1.01s/it] 89%|████████▉ | 25/28 [00:24<00:03, 1.00s/it] 93%|█████████▎| 26/28 [00:25<00:02, 1.00s/it] 96%|█████████▋| 27/28 [00:26<00:01, 1.01s/it] 100%|██████████| 28/28 [00:27<00:00, 1.01s/it] 100%|██████████| 28/28 [00:27<00:00, 1.00it/s]Prediction
qunash/circassian-culture-flux-3000-steps:bf772d87d563c647335dd4bdf50ca56ee5ced4fe55bf0e8ed3d7f874303ae688IDqzjshkqkbdrm60chchbrjrfjfcStatusSucceededSourceWebHardwareH100Total durationCreatedInput
- model
- dev
- prompt
- Circassian princess in Ghibli style, ethereal forest clearing. Flowing dress with intricate patterns, windswept hair. Soft, watercolor-like backgrounds. Whimsical trees, glowing fireflies. Distant castle towers peek through mist. Warm sunset hues blend with cool shadows. Character has large, expressive eyes and graceful pose.
- lora_scale
- 1
- num_outputs
- 4
- aspect_ratio
- 1:1
- output_format
- webp
- guidance_scale
- 3.5
- output_quality
- 80
- num_inference_steps
- 50
{ "model": "dev", "prompt": "Circassian princess in Ghibli style, ethereal forest clearing. Flowing dress with intricate patterns, windswept hair. Soft, watercolor-like backgrounds. Whimsical trees, glowing fireflies. Distant castle towers peek through mist. Warm sunset hues blend with cool shadows. Character has large, expressive eyes and graceful pose.", "lora_scale": 1, "num_outputs": 4, "aspect_ratio": "1:1", "output_format": "webp", "guidance_scale": 3.5, "output_quality": 80, "num_inference_steps": 50 }Install Replicate’s Node.js client library:npm install replicateImport and set up the client:import Replicate from "replicate"; const replicate = new Replicate({ auth: process.env.REPLICATE_API_TOKEN, });Run qunash/circassian-culture-flux-3000-steps using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.
const output = await replicate.run( "qunash/circassian-culture-flux-3000-steps:bf772d87d563c647335dd4bdf50ca56ee5ced4fe55bf0e8ed3d7f874303ae688", { input: { model: "dev", prompt: "Circassian princess in Ghibli style, ethereal forest clearing. Flowing dress with intricate patterns, windswept hair. Soft, watercolor-like backgrounds. Whimsical trees, glowing fireflies. Distant castle towers peek through mist. Warm sunset hues blend with cool shadows. Character has large, expressive eyes and graceful pose.", lora_scale: 1, num_outputs: 4, aspect_ratio: "1:1", output_format: "webp", guidance_scale: 3.5, output_quality: 80, num_inference_steps: 50 } } ); // To access the file URL: console.log(output[0].url()); //=> "http://example.com" // To write the file to disk: fs.writeFile("my-image.png", output[0]);To learn more, take a look at the guide on getting started with Node.js.
Install Replicate’s Python client library:pip install replicateImport the client:import replicateRun qunash/circassian-culture-flux-3000-steps using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.
output = replicate.run( "qunash/circassian-culture-flux-3000-steps:bf772d87d563c647335dd4bdf50ca56ee5ced4fe55bf0e8ed3d7f874303ae688", input={ "model": "dev", "prompt": "Circassian princess in Ghibli style, ethereal forest clearing. Flowing dress with intricate patterns, windswept hair. Soft, watercolor-like backgrounds. Whimsical trees, glowing fireflies. Distant castle towers peek through mist. Warm sunset hues blend with cool shadows. Character has large, expressive eyes and graceful pose.", "lora_scale": 1, "num_outputs": 4, "aspect_ratio": "1:1", "output_format": "webp", "guidance_scale": 3.5, "output_quality": 80, "num_inference_steps": 50 } ) print(output)To learn more, take a look at the guide on getting started with Python.
Run qunash/circassian-culture-flux-3000-steps using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.
curl -s -X POST \ -H "Authorization: Bearer $REPLICATE_API_TOKEN" \ -H "Content-Type: application/json" \ -H "Prefer: wait" \ -d $'{ "version": "qunash/circassian-culture-flux-3000-steps:bf772d87d563c647335dd4bdf50ca56ee5ced4fe55bf0e8ed3d7f874303ae688", "input": { "model": "dev", "prompt": "Circassian princess in Ghibli style, ethereal forest clearing. Flowing dress with intricate patterns, windswept hair. Soft, watercolor-like backgrounds. Whimsical trees, glowing fireflies. Distant castle towers peek through mist. Warm sunset hues blend with cool shadows. Character has large, expressive eyes and graceful pose.", "lora_scale": 1, "num_outputs": 4, "aspect_ratio": "1:1", "output_format": "webp", "guidance_scale": 3.5, "output_quality": 80, "num_inference_steps": 50 } }' \ https://api.replicate.com/v1/predictionsTo learn more, take a look at Replicate’s HTTP API reference docs.
Output
{ "completed_at": "2024-08-18T07:17:24.949735Z", "created_at": "2024-08-18T07:16:11.227000Z", "data_removed": false, "error": null, "id": "qzjshkqkbdrm60chchbrjrfjfc", "input": { "model": "dev", "prompt": "Circassian princess in Ghibli style, ethereal forest clearing. Flowing dress with intricate patterns, windswept hair. Soft, watercolor-like backgrounds. Whimsical trees, glowing fireflies. Distant castle towers peek through mist. Warm sunset hues blend with cool shadows. Character has large, expressive eyes and graceful pose.", "lora_scale": 1, "num_outputs": 4, "aspect_ratio": "1:1", "output_format": "webp", "guidance_scale": 3.5, "output_quality": 80, "num_inference_steps": 50 }, "logs": "Using seed: 40517\nPrompt: Circassian princess in Ghibli style, ethereal forest clearing. Flowing dress with intricate patterns, windswept hair. Soft, watercolor-like backgrounds. Whimsical trees, glowing fireflies. Distant castle towers peek through mist. Warm sunset hues blend with cool shadows. Character has large, expressive eyes and graceful pose.\ntxt2img mode\nUsing dev model\nLoading LoRA weights\nLoRA weights loaded successfully\n 0%| | 0/50 [00:00<?, ?it/s]\n 2%|▏ | 1/50 [00:01<00:49, 1.01s/it]\n 4%|▍ | 2/50 [00:01<00:42, 1.13it/s]\n 6%|▌ | 3/50 [00:02<00:44, 1.06it/s]\n 8%|▊ | 4/50 [00:03<00:44, 1.02it/s]\n 10%|█ | 5/50 [00:04<00:44, 1.01it/s]\n 12%|█▏ | 6/50 [00:05<00:44, 1.00s/it]\n 14%|█▍ | 7/50 [00:06<00:43, 1.01s/it]\n 16%|█▌ | 8/50 [00:07<00:42, 1.01s/it]\n 18%|█▊ | 9/50 [00:08<00:41, 1.02s/it]\n 20%|██ | 10/50 [00:09<00:40, 1.02s/it]\n 22%|██▏ | 11/50 [00:11<00:39, 1.02s/it]\n 24%|██▍ | 12/50 [00:12<00:38, 1.02s/it]\n 26%|██▌ | 13/50 [00:13<00:37, 1.02s/it]\n 28%|██▊ | 14/50 [00:14<00:36, 1.02s/it]\n 30%|███ | 15/50 [00:15<00:35, 1.02s/it]\n 32%|███▏ | 16/50 [00:16<00:34, 1.03s/it]\n 34%|███▍ | 17/50 [00:17<00:33, 1.02s/it]\n 36%|███▌ | 18/50 [00:18<00:32, 1.02s/it]\n 38%|███▊ | 19/50 [00:19<00:31, 1.03s/it]\n 40%|████ | 20/50 [00:20<00:30, 1.03s/it]\n 42%|████▏ | 21/50 [00:21<00:29, 1.03s/it]\n 44%|████▍ | 22/50 [00:22<00:28, 1.03s/it]\n 46%|████▌ | 23/50 [00:23<00:27, 1.03s/it]\n 48%|████▊ | 24/50 [00:24<00:26, 1.03s/it]\n 50%|█████ | 25/50 [00:25<00:25, 1.03s/it]\n 52%|█████▏ | 26/50 [00:26<00:24, 1.03s/it]\n 54%|█████▍ | 27/50 [00:27<00:23, 1.03s/it]\n 56%|█████▌ | 28/50 [00:28<00:22, 1.03s/it]\n 58%|█████▊ | 29/50 [00:29<00:21, 1.03s/it]\n 60%|██████ | 30/50 [00:30<00:20, 1.03s/it]\n 62%|██████▏ | 31/50 [00:31<00:19, 1.03s/it]\n 64%|██████▍ | 32/50 [00:32<00:18, 1.03s/it]\n 66%|██████▌ | 33/50 [00:33<00:17, 1.03s/it]\n 68%|██████▊ | 34/50 [00:34<00:16, 1.03s/it]\n 70%|███████ | 35/50 [00:35<00:15, 1.03s/it]\n 72%|███████▏ | 36/50 [00:36<00:14, 1.03s/it]\n 74%|███████▍ | 37/50 [00:37<00:13, 1.03s/it]\n 76%|███████▌ | 38/50 [00:38<00:12, 1.03s/it]\n 78%|███████▊ | 39/50 [00:39<00:11, 1.03s/it]\n 80%|████████ | 40/50 [00:40<00:10, 1.03s/it]\n 82%|████████▏ | 41/50 [00:41<00:09, 1.03s/it]\n 84%|████████▍ | 42/50 [00:42<00:08, 1.03s/it]\n 86%|████████▌ | 43/50 [00:43<00:07, 1.03s/it]\n 88%|████████▊ | 44/50 [00:44<00:06, 1.03s/it]\n 90%|█████████ | 45/50 [00:45<00:05, 1.03s/it]\n 92%|█████████▏| 46/50 [00:46<00:04, 1.03s/it]\n 94%|█████████▍| 47/50 [00:47<00:03, 1.03s/it]\n 96%|█████████▌| 48/50 [00:49<00:02, 1.03s/it]\n 98%|█████████▊| 49/50 [00:50<00:01, 1.03s/it]\n100%|██████████| 50/50 [00:51<00:00, 1.03s/it]\n100%|██████████| 50/50 [00:51<00:00, 1.02s/it]", "metrics": { "predict_time": 62.303914508, "total_time": 73.722735 }, "output": [ "https://replicate.delivery/yhqm/eBxBPVJVxnT5cqjMAqYt87MllZw07gJ9edd55K796GuEI1TTA/out-0.webp", "https://replicate.delivery/yhqm/q1Lt2OSQypZwFpsykFqIf5xyfoVwidKMY2oDh5WfVNFIQqnmA/out-1.webp", "https://replicate.delivery/yhqm/uRuDpQZhnx6BBZfgENQZkdHLM6X5FlazIXeU79OVJROEI1TTA/out-2.webp", "https://replicate.delivery/yhqm/EKVbfImlS63ETKMzsMJJMHuQW0OO8AOtPeNpVLvVDOfJQqnmA/out-3.webp" ], "started_at": "2024-08-18T07:16:22.645820Z", "status": "succeeded", "urls": { "get": "https://api.replicate.com/v1/predictions/qzjshkqkbdrm60chchbrjrfjfc", "cancel": "https://api.replicate.com/v1/predictions/qzjshkqkbdrm60chchbrjrfjfc/cancel" }, "version": "bf772d87d563c647335dd4bdf50ca56ee5ced4fe55bf0e8ed3d7f874303ae688" }Generated inUsing seed: 40517 Prompt: Circassian princess in Ghibli style, ethereal forest clearing. Flowing dress with intricate patterns, windswept hair. Soft, watercolor-like backgrounds. Whimsical trees, glowing fireflies. Distant castle towers peek through mist. Warm sunset hues blend with cool shadows. Character has large, expressive eyes and graceful pose. txt2img mode Using dev model Loading LoRA weights LoRA weights loaded successfully 0%| | 0/50 [00:00<?, ?it/s] 2%|▏ | 1/50 [00:01<00:49, 1.01s/it] 4%|▍ | 2/50 [00:01<00:42, 1.13it/s] 6%|▌ | 3/50 [00:02<00:44, 1.06it/s] 8%|▊ | 4/50 [00:03<00:44, 1.02it/s] 10%|█ | 5/50 [00:04<00:44, 1.01it/s] 12%|█▏ | 6/50 [00:05<00:44, 1.00s/it] 14%|█▍ | 7/50 [00:06<00:43, 1.01s/it] 16%|█▌ | 8/50 [00:07<00:42, 1.01s/it] 18%|█▊ | 9/50 [00:08<00:41, 1.02s/it] 20%|██ | 10/50 [00:09<00:40, 1.02s/it] 22%|██▏ | 11/50 [00:11<00:39, 1.02s/it] 24%|██▍ | 12/50 [00:12<00:38, 1.02s/it] 26%|██▌ | 13/50 [00:13<00:37, 1.02s/it] 28%|██▊ | 14/50 [00:14<00:36, 1.02s/it] 30%|███ | 15/50 [00:15<00:35, 1.02s/it] 32%|███▏ | 16/50 [00:16<00:34, 1.03s/it] 34%|███▍ | 17/50 [00:17<00:33, 1.02s/it] 36%|███▌ | 18/50 [00:18<00:32, 1.02s/it] 38%|███▊ | 19/50 [00:19<00:31, 1.03s/it] 40%|████ | 20/50 [00:20<00:30, 1.03s/it] 42%|████▏ | 21/50 [00:21<00:29, 1.03s/it] 44%|████▍ | 22/50 [00:22<00:28, 1.03s/it] 46%|████▌ | 23/50 [00:23<00:27, 1.03s/it] 48%|████▊ | 24/50 [00:24<00:26, 1.03s/it] 50%|█████ | 25/50 [00:25<00:25, 1.03s/it] 52%|█████▏ | 26/50 [00:26<00:24, 1.03s/it] 54%|█████▍ | 27/50 [00:27<00:23, 1.03s/it] 56%|█████▌ | 28/50 [00:28<00:22, 1.03s/it] 58%|█████▊ | 29/50 [00:29<00:21, 1.03s/it] 60%|██████ | 30/50 [00:30<00:20, 1.03s/it] 62%|██████▏ | 31/50 [00:31<00:19, 1.03s/it] 64%|██████▍ | 32/50 [00:32<00:18, 1.03s/it] 66%|██████▌ | 33/50 [00:33<00:17, 1.03s/it] 68%|██████▊ | 34/50 [00:34<00:16, 1.03s/it] 70%|███████ | 35/50 [00:35<00:15, 1.03s/it] 72%|███████▏ | 36/50 [00:36<00:14, 1.03s/it] 74%|███████▍ | 37/50 [00:37<00:13, 1.03s/it] 76%|███████▌ | 38/50 [00:38<00:12, 1.03s/it] 78%|███████▊ | 39/50 [00:39<00:11, 1.03s/it] 80%|████████ | 40/50 [00:40<00:10, 1.03s/it] 82%|████████▏ | 41/50 [00:41<00:09, 1.03s/it] 84%|████████▍ | 42/50 [00:42<00:08, 1.03s/it] 86%|████████▌ | 43/50 [00:43<00:07, 1.03s/it] 88%|████████▊ | 44/50 [00:44<00:06, 1.03s/it] 90%|█████████ | 45/50 [00:45<00:05, 1.03s/it] 92%|█████████▏| 46/50 [00:46<00:04, 1.03s/it] 94%|█████████▍| 47/50 [00:47<00:03, 1.03s/it] 96%|█████████▌| 48/50 [00:49<00:02, 1.03s/it] 98%|█████████▊| 49/50 [00:50<00:01, 1.03s/it] 100%|██████████| 50/50 [00:51<00:00, 1.03s/it] 100%|██████████| 50/50 [00:51<00:00, 1.02s/it]Prediction
qunash/circassian-culture-flux-3000-steps:bf772d87d563c647335dd4bdf50ca56ee5ced4fe55bf0e8ed3d7f874303ae688IDrgrx47mwasrm00chch9an7gz8rStatusSucceededSourceWebHardwareH100Total durationCreatedInput
- model
- dev
- prompt
- Fashion Editorial. Castle edition, analog fashion portrait. Portra 400 high dpi scan. Young, strong, twenty years old Circassian man in a dark tsey, Philip sepia pastel colors
- lora_scale
- 1
- num_outputs
- 4
- aspect_ratio
- 1:1
- output_format
- webp
- guidance_scale
- 3.5
- output_quality
- 80
- num_inference_steps
- 50
{ "model": "dev", "prompt": "Fashion Editorial. Castle edition, analog fashion portrait. Portra 400 high dpi scan. Young, strong, twenty years old Circassian man in a dark tsey, Philip sepia pastel colors", "lora_scale": 1, "num_outputs": 4, "aspect_ratio": "1:1", "output_format": "webp", "guidance_scale": 3.5, "output_quality": 80, "num_inference_steps": 50 }Install Replicate’s Node.js client library:npm install replicateImport and set up the client:import Replicate from "replicate"; const replicate = new Replicate({ auth: process.env.REPLICATE_API_TOKEN, });Run qunash/circassian-culture-flux-3000-steps using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.
const output = await replicate.run( "qunash/circassian-culture-flux-3000-steps:bf772d87d563c647335dd4bdf50ca56ee5ced4fe55bf0e8ed3d7f874303ae688", { input: { model: "dev", prompt: "Fashion Editorial. Castle edition, analog fashion portrait. Portra 400 high dpi scan. Young, strong, twenty years old Circassian man in a dark tsey, Philip sepia pastel colors", lora_scale: 1, num_outputs: 4, aspect_ratio: "1:1", output_format: "webp", guidance_scale: 3.5, output_quality: 80, num_inference_steps: 50 } } ); // To access the file URL: console.log(output[0].url()); //=> "http://example.com" // To write the file to disk: fs.writeFile("my-image.png", output[0]);To learn more, take a look at the guide on getting started with Node.js.
Install Replicate’s Python client library:pip install replicateImport the client:import replicateRun qunash/circassian-culture-flux-3000-steps using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.
output = replicate.run( "qunash/circassian-culture-flux-3000-steps:bf772d87d563c647335dd4bdf50ca56ee5ced4fe55bf0e8ed3d7f874303ae688", input={ "model": "dev", "prompt": "Fashion Editorial. Castle edition, analog fashion portrait. Portra 400 high dpi scan. Young, strong, twenty years old Circassian man in a dark tsey, Philip sepia pastel colors", "lora_scale": 1, "num_outputs": 4, "aspect_ratio": "1:1", "output_format": "webp", "guidance_scale": 3.5, "output_quality": 80, "num_inference_steps": 50 } ) print(output)To learn more, take a look at the guide on getting started with Python.
Run qunash/circassian-culture-flux-3000-steps using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.
curl -s -X POST \ -H "Authorization: Bearer $REPLICATE_API_TOKEN" \ -H "Content-Type: application/json" \ -H "Prefer: wait" \ -d $'{ "version": "qunash/circassian-culture-flux-3000-steps:bf772d87d563c647335dd4bdf50ca56ee5ced4fe55bf0e8ed3d7f874303ae688", "input": { "model": "dev", "prompt": "Fashion Editorial. Castle edition, analog fashion portrait. Portra 400 high dpi scan. Young, strong, twenty years old Circassian man in a dark tsey, Philip sepia pastel colors", "lora_scale": 1, "num_outputs": 4, "aspect_ratio": "1:1", "output_format": "webp", "guidance_scale": 3.5, "output_quality": 80, "num_inference_steps": 50 } }' \ https://api.replicate.com/v1/predictionsTo learn more, take a look at Replicate’s HTTP API reference docs.
Output
{ "completed_at": "2024-08-18T07:12:31.348036Z", "created_at": "2024-08-18T07:10:21.270000Z", "data_removed": false, "error": null, "id": "rgrx47mwasrm00chch9an7gz8r", "input": { "model": "dev", "prompt": "Fashion Editorial. Castle edition, analog fashion portrait. Portra 400 high dpi scan. Young, strong, twenty years old Circassian man in a dark tsey, Philip sepia pastel colors", "lora_scale": 1, "num_outputs": 4, "aspect_ratio": "1:1", "output_format": "webp", "guidance_scale": 3.5, "output_quality": 80, "num_inference_steps": 50 }, "logs": "Using seed: 30058\nPrompt: Fashion Editorial. Castle edition, analog fashion portrait. Portra 400 high dpi scan. Young, strong, twenty years old Circassian man in a dark tsey, Philip sepia pastel colors\ntxt2img mode\nUsing dev model\nLoading LoRA weights\nLoRA weights loaded successfully\n 0%| | 0/50 [00:00<?, ?it/s]\n 2%|▏ | 1/50 [00:01<00:49, 1.01s/it]\n 4%|▍ | 2/50 [00:01<00:42, 1.13it/s]\n 6%|▌ | 3/50 [00:02<00:44, 1.06it/s]\n 8%|▊ | 4/50 [00:03<00:44, 1.03it/s]\n 10%|█ | 5/50 [00:04<00:44, 1.01it/s]\n 12%|█▏ | 6/50 [00:05<00:43, 1.00it/s]\n 14%|█▍ | 7/50 [00:06<00:43, 1.01s/it]\n 16%|█▌ | 8/50 [00:07<00:42, 1.01s/it]\n 18%|█▊ | 9/50 [00:08<00:41, 1.02s/it]\n 20%|██ | 10/50 [00:09<00:40, 1.01s/it]\n 22%|██▏ | 11/50 [00:10<00:39, 1.01s/it]\n 24%|██▍ | 12/50 [00:11<00:38, 1.02s/it]\n 26%|██▌ | 13/50 [00:13<00:37, 1.02s/it]\n 28%|██▊ | 14/50 [00:14<00:36, 1.02s/it]\n 30%|███ | 15/50 [00:15<00:35, 1.02s/it]\n 32%|███▏ | 16/50 [00:16<00:34, 1.02s/it]\n 34%|███▍ | 17/50 [00:17<00:33, 1.02s/it]\n 36%|███▌ | 18/50 [00:18<00:32, 1.02s/it]\n 38%|███▊ | 19/50 [00:19<00:31, 1.02s/it]\n 40%|████ | 20/50 [00:20<00:30, 1.02s/it]\n 42%|████▏ | 21/50 [00:21<00:29, 1.02s/it]\n 44%|████▍ | 22/50 [00:22<00:28, 1.02s/it]\n 46%|████▌ | 23/50 [00:23<00:27, 1.02s/it]\n 48%|████▊ | 24/50 [00:24<00:26, 1.02s/it]\n 50%|█████ | 25/50 [00:25<00:25, 1.02s/it]\n 52%|█████▏ | 26/50 [00:26<00:24, 1.02s/it]\n 54%|█████▍ | 27/50 [00:27<00:23, 1.02s/it]\n 56%|█████▌ | 28/50 [00:28<00:22, 1.02s/it]\n 58%|█████▊ | 29/50 [00:29<00:21, 1.02s/it]\n 60%|██████ | 30/50 [00:30<00:20, 1.02s/it]\n 62%|██████▏ | 31/50 [00:31<00:19, 1.02s/it]\n 64%|██████▍ | 32/50 [00:32<00:18, 1.02s/it]\n 66%|██████▌ | 33/50 [00:33<00:17, 1.02s/it]\n 68%|██████▊ | 34/50 [00:34<00:16, 1.03s/it]\n 70%|███████ | 35/50 [00:35<00:15, 1.03s/it]\n 72%|███████▏ | 36/50 [00:36<00:14, 1.03s/it]\n 74%|███████▍ | 37/50 [00:37<00:13, 1.03s/it]\n 76%|███████▌ | 38/50 [00:38<00:12, 1.03s/it]\n 78%|███████▊ | 39/50 [00:39<00:11, 1.03s/it]\n 80%|████████ | 40/50 [00:40<00:10, 1.02s/it]\n 82%|████████▏ | 41/50 [00:41<00:09, 1.02s/it]\n 84%|████████▍ | 42/50 [00:42<00:08, 1.02s/it]\n 86%|████████▌ | 43/50 [00:43<00:07, 1.02s/it]\n 88%|████████▊ | 44/50 [00:44<00:06, 1.03s/it]\n 90%|█████████ | 45/50 [00:45<00:05, 1.03s/it]\n 92%|█████████▏| 46/50 [00:46<00:04, 1.03s/it]\n 94%|█████████▍| 47/50 [00:47<00:03, 1.03s/it]\n 96%|█████████▌| 48/50 [00:48<00:02, 1.03s/it]\n 98%|█████████▊| 49/50 [00:49<00:01, 1.03s/it]\n100%|██████████| 50/50 [00:50<00:00, 1.03s/it]\n100%|██████████| 50/50 [00:50<00:00, 1.02s/it]", "metrics": { "predict_time": 61.852793696, "total_time": 130.078036 }, "output": [ "https://replicate.delivery/yhqm/c1iQDzLC1eSVW6dVhchyUrheKjHB7j48En5D2XuVfw79GqnmA/out-0.webp", "https://replicate.delivery/yhqm/tacEkV7HmDacIdayQksvfzJloBROgUZYuGVpT6d4jBffGqnmA/out-1.webp", "https://replicate.delivery/yhqm/ntKVnhM3RwrpNNWZTrXWawA4e3tXhepwdcVuKz75Z5tfGqnmA/out-2.webp", "https://replicate.delivery/yhqm/KqGPI155aoJYFt10ObYvZhGiiB3A65ygr3wUi4erKz8vh6pJA/out-3.webp" ], "started_at": "2024-08-18T07:11:29.495242Z", "status": "succeeded", "urls": { "get": "https://api.replicate.com/v1/predictions/rgrx47mwasrm00chch9an7gz8r", "cancel": "https://api.replicate.com/v1/predictions/rgrx47mwasrm00chch9an7gz8r/cancel" }, "version": "bf772d87d563c647335dd4bdf50ca56ee5ced4fe55bf0e8ed3d7f874303ae688" }Generated inUsing seed: 30058 Prompt: Fashion Editorial. Castle edition, analog fashion portrait. Portra 400 high dpi scan. Young, strong, twenty years old Circassian man in a dark tsey, Philip sepia pastel colors txt2img mode Using dev model Loading LoRA weights LoRA weights loaded successfully 0%| | 0/50 [00:00<?, ?it/s] 2%|▏ | 1/50 [00:01<00:49, 1.01s/it] 4%|▍ | 2/50 [00:01<00:42, 1.13it/s] 6%|▌ | 3/50 [00:02<00:44, 1.06it/s] 8%|▊ | 4/50 [00:03<00:44, 1.03it/s] 10%|█ | 5/50 [00:04<00:44, 1.01it/s] 12%|█▏ | 6/50 [00:05<00:43, 1.00it/s] 14%|█▍ | 7/50 [00:06<00:43, 1.01s/it] 16%|█▌ | 8/50 [00:07<00:42, 1.01s/it] 18%|█▊ | 9/50 [00:08<00:41, 1.02s/it] 20%|██ | 10/50 [00:09<00:40, 1.01s/it] 22%|██▏ | 11/50 [00:10<00:39, 1.01s/it] 24%|██▍ | 12/50 [00:11<00:38, 1.02s/it] 26%|██▌ | 13/50 [00:13<00:37, 1.02s/it] 28%|██▊ | 14/50 [00:14<00:36, 1.02s/it] 30%|███ | 15/50 [00:15<00:35, 1.02s/it] 32%|███▏ | 16/50 [00:16<00:34, 1.02s/it] 34%|███▍ | 17/50 [00:17<00:33, 1.02s/it] 36%|███▌ | 18/50 [00:18<00:32, 1.02s/it] 38%|███▊ | 19/50 [00:19<00:31, 1.02s/it] 40%|████ | 20/50 [00:20<00:30, 1.02s/it] 42%|████▏ | 21/50 [00:21<00:29, 1.02s/it] 44%|████▍ | 22/50 [00:22<00:28, 1.02s/it] 46%|████▌ | 23/50 [00:23<00:27, 1.02s/it] 48%|████▊ | 24/50 [00:24<00:26, 1.02s/it] 50%|█████ | 25/50 [00:25<00:25, 1.02s/it] 52%|█████▏ | 26/50 [00:26<00:24, 1.02s/it] 54%|█████▍ | 27/50 [00:27<00:23, 1.02s/it] 56%|█████▌ | 28/50 [00:28<00:22, 1.02s/it] 58%|█████▊ | 29/50 [00:29<00:21, 1.02s/it] 60%|██████ | 30/50 [00:30<00:20, 1.02s/it] 62%|██████▏ | 31/50 [00:31<00:19, 1.02s/it] 64%|██████▍ | 32/50 [00:32<00:18, 1.02s/it] 66%|██████▌ | 33/50 [00:33<00:17, 1.02s/it] 68%|██████▊ | 34/50 [00:34<00:16, 1.03s/it] 70%|███████ | 35/50 [00:35<00:15, 1.03s/it] 72%|███████▏ | 36/50 [00:36<00:14, 1.03s/it] 74%|███████▍ | 37/50 [00:37<00:13, 1.03s/it] 76%|███████▌ | 38/50 [00:38<00:12, 1.03s/it] 78%|███████▊ | 39/50 [00:39<00:11, 1.03s/it] 80%|████████ | 40/50 [00:40<00:10, 1.02s/it] 82%|████████▏ | 41/50 [00:41<00:09, 1.02s/it] 84%|████████▍ | 42/50 [00:42<00:08, 1.02s/it] 86%|████████▌ | 43/50 [00:43<00:07, 1.02s/it] 88%|████████▊ | 44/50 [00:44<00:06, 1.03s/it] 90%|█████████ | 45/50 [00:45<00:05, 1.03s/it] 92%|█████████▏| 46/50 [00:46<00:04, 1.03s/it] 94%|█████████▍| 47/50 [00:47<00:03, 1.03s/it] 96%|█████████▌| 48/50 [00:48<00:02, 1.03s/it] 98%|█████████▊| 49/50 [00:49<00:01, 1.03s/it] 100%|██████████| 50/50 [00:50<00:00, 1.03s/it] 100%|██████████| 50/50 [00:50<00:00, 1.02s/it]Prediction
qunash/circassian-culture-flux-3000-steps:bf772d87d563c647335dd4bdf50ca56ee5ced4fe55bf0e8ed3d7f874303ae688ID1221wd3k1srm20chcjjrbdbbmgStatusSucceededSourceWebHardwareH100Total durationCreatedInput
- model
- dev
- prompt
- A Circassian female in a traditional Circassian dress fasha with visible eyebrows, hazel eyes, small lips, a bit broader short nose, almond-shaped eyes, a broad chin, and a prominent jawline. She has shoulder-length hair, a slight smile, high cheekbones, and is in a portrait against a white background. The photo was taken with Kodak Portra 800 film.
- lora_scale
- 1
- num_outputs
- 4
- aspect_ratio
- 1:1
- output_format
- webp
- guidance_scale
- 3.5
- output_quality
- 80
- num_inference_steps
- 50
{ "model": "dev", "prompt": "A Circassian female in a traditional Circassian dress fasha with visible eyebrows, hazel eyes, small lips, a bit broader short nose, almond-shaped eyes, a broad chin, and a prominent jawline. She has shoulder-length hair, a slight smile, high cheekbones, and is in a portrait against a white background. The photo was taken with Kodak Portra 800 film.", "lora_scale": 1, "num_outputs": 4, "aspect_ratio": "1:1", "output_format": "webp", "guidance_scale": 3.5, "output_quality": 80, "num_inference_steps": 50 }Install Replicate’s Node.js client library:npm install replicateImport and set up the client:import Replicate from "replicate"; const replicate = new Replicate({ auth: process.env.REPLICATE_API_TOKEN, });Run qunash/circassian-culture-flux-3000-steps using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.
const output = await replicate.run( "qunash/circassian-culture-flux-3000-steps:bf772d87d563c647335dd4bdf50ca56ee5ced4fe55bf0e8ed3d7f874303ae688", { input: { model: "dev", prompt: "A Circassian female in a traditional Circassian dress fasha with visible eyebrows, hazel eyes, small lips, a bit broader short nose, almond-shaped eyes, a broad chin, and a prominent jawline. She has shoulder-length hair, a slight smile, high cheekbones, and is in a portrait against a white background. The photo was taken with Kodak Portra 800 film.", lora_scale: 1, num_outputs: 4, aspect_ratio: "1:1", output_format: "webp", guidance_scale: 3.5, output_quality: 80, num_inference_steps: 50 } } ); // To access the file URL: console.log(output[0].url()); //=> "http://example.com" // To write the file to disk: fs.writeFile("my-image.png", output[0]);To learn more, take a look at the guide on getting started with Node.js.
Install Replicate’s Python client library:pip install replicateImport the client:import replicateRun qunash/circassian-culture-flux-3000-steps using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.
output = replicate.run( "qunash/circassian-culture-flux-3000-steps:bf772d87d563c647335dd4bdf50ca56ee5ced4fe55bf0e8ed3d7f874303ae688", input={ "model": "dev", "prompt": "A Circassian female in a traditional Circassian dress fasha with visible eyebrows, hazel eyes, small lips, a bit broader short nose, almond-shaped eyes, a broad chin, and a prominent jawline. She has shoulder-length hair, a slight smile, high cheekbones, and is in a portrait against a white background. The photo was taken with Kodak Portra 800 film.", "lora_scale": 1, "num_outputs": 4, "aspect_ratio": "1:1", "output_format": "webp", "guidance_scale": 3.5, "output_quality": 80, "num_inference_steps": 50 } ) print(output)To learn more, take a look at the guide on getting started with Python.
Run qunash/circassian-culture-flux-3000-steps using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.
curl -s -X POST \ -H "Authorization: Bearer $REPLICATE_API_TOKEN" \ -H "Content-Type: application/json" \ -H "Prefer: wait" \ -d $'{ "version": "qunash/circassian-culture-flux-3000-steps:bf772d87d563c647335dd4bdf50ca56ee5ced4fe55bf0e8ed3d7f874303ae688", "input": { "model": "dev", "prompt": "A Circassian female in a traditional Circassian dress fasha with visible eyebrows, hazel eyes, small lips, a bit broader short nose, almond-shaped eyes, a broad chin, and a prominent jawline. She has shoulder-length hair, a slight smile, high cheekbones, and is in a portrait against a white background. The photo was taken with Kodak Portra 800 film.", "lora_scale": 1, "num_outputs": 4, "aspect_ratio": "1:1", "output_format": "webp", "guidance_scale": 3.5, "output_quality": 80, "num_inference_steps": 50 } }' \ https://api.replicate.com/v1/predictionsTo learn more, take a look at Replicate’s HTTP API reference docs.
Output
{ "completed_at": "2024-08-18T08:41:43.354769Z", "created_at": "2024-08-18T08:40:50.190000Z", "data_removed": false, "error": null, "id": "1221wd3k1srm20chcjjrbdbbmg", "input": { "model": "dev", "prompt": "A Circassian female in a traditional Circassian dress fasha with visible eyebrows, hazel eyes, small lips, a bit broader short nose, almond-shaped eyes, a broad chin, and a prominent jawline. She has shoulder-length hair, a slight smile, high cheekbones, and is in a portrait against a white background. The photo was taken with Kodak Portra 800 film.", "lora_scale": 1, "num_outputs": 4, "aspect_ratio": "1:1", "output_format": "webp", "guidance_scale": 3.5, "output_quality": 80, "num_inference_steps": 50 }, "logs": "Using seed: 9905\nPrompt: A Circassian female in a traditional Circassian dress fasha with visible eyebrows, hazel eyes, small lips, a bit broader short nose, almond-shaped eyes, a broad chin, and a prominent jawline. She has shoulder-length hair, a slight smile, high cheekbones, and is in a portrait against a white background. The photo was taken with Kodak Portra 800 film.\ntxt2img mode\nUsing dev model\nLoading LoRA weights\nweights already loaded!\nThe following part of your input was truncated because CLIP can only handle sequences up to 77 tokens: ['kodak portra 8 0 0 film.', 'kodak portra 8 0 0 film.', 'kodak portra 8 0 0 film.', 'kodak portra 8 0 0 film.']\n 0%| | 0/50 [00:00<?, ?it/s]\n 2%|▏ | 1/50 [00:01<00:50, 1.03s/it]\n 4%|▍ | 2/50 [00:01<00:43, 1.11it/s]\n 6%|▌ | 3/50 [00:02<00:45, 1.04it/s]\n 8%|▊ | 4/50 [00:03<00:45, 1.02it/s]\n 10%|█ | 5/50 [00:04<00:44, 1.00it/s]\n 12%|█▏ | 6/50 [00:05<00:44, 1.01s/it]\n 14%|█▍ | 7/50 [00:06<00:43, 1.01s/it]\n 16%|█▌ | 8/50 [00:07<00:42, 1.02s/it]\n 18%|█▊ | 9/50 [00:09<00:41, 1.02s/it]\n 20%|██ | 10/50 [00:10<00:41, 1.03s/it]\n 22%|██▏ | 11/50 [00:11<00:40, 1.03s/it]\n 24%|██▍ | 12/50 [00:12<00:39, 1.03s/it]\n 26%|██▌ | 13/50 [00:13<00:38, 1.03s/it]\n 28%|██▊ | 14/50 [00:14<00:37, 1.03s/it]\n 30%|███ | 15/50 [00:15<00:36, 1.03s/it]\n 32%|███▏ | 16/50 [00:16<00:35, 1.03s/it]\n 34%|███▍ | 17/50 [00:17<00:33, 1.03s/it]\n 36%|███▌ | 18/50 [00:18<00:33, 1.03s/it]\n 38%|███▊ | 19/50 [00:19<00:31, 1.03s/it]\n 40%|████ | 20/50 [00:20<00:30, 1.03s/it]\n 42%|████▏ | 21/50 [00:21<00:29, 1.03s/it]\n 44%|████▍ | 22/50 [00:22<00:28, 1.04s/it]\n 46%|████▌ | 23/50 [00:23<00:27, 1.04s/it]\n 48%|████▊ | 24/50 [00:24<00:26, 1.03s/it]\n 50%|█████ | 25/50 [00:25<00:25, 1.03s/it]\n 52%|█████▏ | 26/50 [00:26<00:24, 1.03s/it]\n 54%|█████▍ | 27/50 [00:27<00:23, 1.03s/it]\n 56%|█████▌ | 28/50 [00:28<00:22, 1.04s/it]\n 58%|█████▊ | 29/50 [00:29<00:21, 1.04s/it]\n 60%|██████ | 30/50 [00:30<00:20, 1.04s/it]\n 62%|██████▏ | 31/50 [00:31<00:19, 1.04s/it]\n 64%|██████▍ | 32/50 [00:32<00:18, 1.04s/it]\n 66%|██████▌ | 33/50 [00:33<00:17, 1.04s/it]\n 68%|██████▊ | 34/50 [00:34<00:16, 1.04s/it]\n 70%|███████ | 35/50 [00:35<00:15, 1.04s/it]\n 72%|███████▏ | 36/50 [00:36<00:14, 1.04s/it]\n 74%|███████▍ | 37/50 [00:38<00:13, 1.04s/it]\n 76%|███████▌ | 38/50 [00:39<00:12, 1.04s/it]\n 78%|███████▊ | 39/50 [00:40<00:11, 1.04s/it]\n 80%|████████ | 40/50 [00:41<00:10, 1.04s/it]\n 82%|████████▏ | 41/50 [00:42<00:09, 1.04s/it]\n 84%|████████▍ | 42/50 [00:43<00:08, 1.04s/it]\n 86%|████████▌ | 43/50 [00:44<00:07, 1.04s/it]\n 88%|████████▊ | 44/50 [00:45<00:06, 1.04s/it]\n 90%|█████████ | 45/50 [00:46<00:05, 1.04s/it]\n 92%|█████████▏| 46/50 [00:47<00:04, 1.04s/it]\n 94%|█████████▍| 47/50 [00:48<00:03, 1.04s/it]\n 96%|█████████▌| 48/50 [00:49<00:02, 1.04s/it]\n 98%|█████████▊| 49/50 [00:50<00:01, 1.04s/it]\n100%|██████████| 50/50 [00:51<00:00, 1.04s/it]\n100%|██████████| 50/50 [00:51<00:00, 1.03s/it]", "metrics": { "predict_time": 53.131398988, "total_time": 53.164769 }, "output": [ "https://replicate.delivery/yhqm/wu5fxnAZ8pWdXiuGpQ8yV9Py01GjhZJxRmicTHfLec0NusnmA/out-0.webp", "https://replicate.delivery/yhqm/T2kepfBPS6q6Mkj6XLysoaOdfvHptgf7rs3TxVuDHZ6ccZPNB/out-1.webp", "https://replicate.delivery/yhqm/ePBAA0vKPmVSd6fGlNf7AVvofD0x8ZbqUbmrhfjP87Q44ye0E/out-2.webp", "https://replicate.delivery/yhqm/SFj2brHc8jI8LxgKU8HcU3DoekQaoqhSeiPOImc4kaXHX2TTA/out-3.webp" ], "started_at": "2024-08-18T08:40:50.223370Z", "status": "succeeded", "urls": { "get": "https://api.replicate.com/v1/predictions/1221wd3k1srm20chcjjrbdbbmg", "cancel": "https://api.replicate.com/v1/predictions/1221wd3k1srm20chcjjrbdbbmg/cancel" }, "version": "bf772d87d563c647335dd4bdf50ca56ee5ced4fe55bf0e8ed3d7f874303ae688" }Generated inUsing seed: 9905 Prompt: A Circassian female in a traditional Circassian dress fasha with visible eyebrows, hazel eyes, small lips, a bit broader short nose, almond-shaped eyes, a broad chin, and a prominent jawline. She has shoulder-length hair, a slight smile, high cheekbones, and is in a portrait against a white background. The photo was taken with Kodak Portra 800 film. txt2img mode Using dev model Loading LoRA weights weights already loaded! The following part of your input was truncated because CLIP can only handle sequences up to 77 tokens: ['kodak portra 8 0 0 film.', 'kodak portra 8 0 0 film.', 'kodak portra 8 0 0 film.', 'kodak portra 8 0 0 film.'] 0%| | 0/50 [00:00<?, ?it/s] 2%|▏ | 1/50 [00:01<00:50, 1.03s/it] 4%|▍ | 2/50 [00:01<00:43, 1.11it/s] 6%|▌ | 3/50 [00:02<00:45, 1.04it/s] 8%|▊ | 4/50 [00:03<00:45, 1.02it/s] 10%|█ | 5/50 [00:04<00:44, 1.00it/s] 12%|█▏ | 6/50 [00:05<00:44, 1.01s/it] 14%|█▍ | 7/50 [00:06<00:43, 1.01s/it] 16%|█▌ | 8/50 [00:07<00:42, 1.02s/it] 18%|█▊ | 9/50 [00:09<00:41, 1.02s/it] 20%|██ | 10/50 [00:10<00:41, 1.03s/it] 22%|██▏ | 11/50 [00:11<00:40, 1.03s/it] 24%|██▍ | 12/50 [00:12<00:39, 1.03s/it] 26%|██▌ | 13/50 [00:13<00:38, 1.03s/it] 28%|██▊ | 14/50 [00:14<00:37, 1.03s/it] 30%|███ | 15/50 [00:15<00:36, 1.03s/it] 32%|███▏ | 16/50 [00:16<00:35, 1.03s/it] 34%|███▍ | 17/50 [00:17<00:33, 1.03s/it] 36%|███▌ | 18/50 [00:18<00:33, 1.03s/it] 38%|███▊ | 19/50 [00:19<00:31, 1.03s/it] 40%|████ | 20/50 [00:20<00:30, 1.03s/it] 42%|████▏ | 21/50 [00:21<00:29, 1.03s/it] 44%|████▍ | 22/50 [00:22<00:28, 1.04s/it] 46%|████▌ | 23/50 [00:23<00:27, 1.04s/it] 48%|████▊ | 24/50 [00:24<00:26, 1.03s/it] 50%|█████ | 25/50 [00:25<00:25, 1.03s/it] 52%|█████▏ | 26/50 [00:26<00:24, 1.03s/it] 54%|█████▍ | 27/50 [00:27<00:23, 1.03s/it] 56%|█████▌ | 28/50 [00:28<00:22, 1.04s/it] 58%|█████▊ | 29/50 [00:29<00:21, 1.04s/it] 60%|██████ | 30/50 [00:30<00:20, 1.04s/it] 62%|██████▏ | 31/50 [00:31<00:19, 1.04s/it] 64%|██████▍ | 32/50 [00:32<00:18, 1.04s/it] 66%|██████▌ | 33/50 [00:33<00:17, 1.04s/it] 68%|██████▊ | 34/50 [00:34<00:16, 1.04s/it] 70%|███████ | 35/50 [00:35<00:15, 1.04s/it] 72%|███████▏ | 36/50 [00:36<00:14, 1.04s/it] 74%|███████▍ | 37/50 [00:38<00:13, 1.04s/it] 76%|███████▌ | 38/50 [00:39<00:12, 1.04s/it] 78%|███████▊ | 39/50 [00:40<00:11, 1.04s/it] 80%|████████ | 40/50 [00:41<00:10, 1.04s/it] 82%|████████▏ | 41/50 [00:42<00:09, 1.04s/it] 84%|████████▍ | 42/50 [00:43<00:08, 1.04s/it] 86%|████████▌ | 43/50 [00:44<00:07, 1.04s/it] 88%|████████▊ | 44/50 [00:45<00:06, 1.04s/it] 90%|█████████ | 45/50 [00:46<00:05, 1.04s/it] 92%|█████████▏| 46/50 [00:47<00:04, 1.04s/it] 94%|█████████▍| 47/50 [00:48<00:03, 1.04s/it] 96%|█████████▌| 48/50 [00:49<00:02, 1.04s/it] 98%|█████████▊| 49/50 [00:50<00:01, 1.04s/it] 100%|██████████| 50/50 [00:51<00:00, 1.04s/it] 100%|██████████| 50/50 [00:51<00:00, 1.03s/it]Prediction
qunash/circassian-culture-flux-3000-steps:bf772d87d563c647335dd4bdf50ca56ee5ced4fe55bf0e8ed3d7f874303ae688IDtfhc8evz4nrm40chhrcb1g6rkmStatusSucceededSourceWebHardwareH100Total durationCreatedInput
- model
- dev
- prompt
- An artistic fashion shot of a woman wearing elegant traditional Circassian dress, taken from a dramatic low angle against a backdrop of a blue sky. The treatment adds a timeless quality to the image, with the strong pose and intense expression creating a powerful visual narrative. The contrast between the woman's outfit and the sky enhances the surreal feel of the image. Inspired by avant-garde fashion photography, bold contrasts, surreal perspectives, minimalistic background
- lora_scale
- 1
- num_outputs
- 4
- aspect_ratio
- 1:1
- output_format
- webp
- guidance_scale
- 3.5
- output_quality
- 80
- num_inference_steps
- 28
{ "model": "dev", "prompt": "An artistic fashion shot of a woman wearing elegant traditional Circassian dress, taken from a dramatic low angle against a backdrop of a blue sky. The treatment adds a timeless quality to the image, with the strong pose and intense expression creating a powerful visual narrative. The contrast between the woman's outfit and the sky enhances the surreal feel of the image. Inspired by avant-garde fashion photography, bold contrasts, surreal perspectives, minimalistic background", "lora_scale": 1, "num_outputs": 4, "aspect_ratio": "1:1", "output_format": "webp", "guidance_scale": 3.5, "output_quality": 80, "num_inference_steps": 28 }Install Replicate’s Node.js client library:npm install replicateImport and set up the client:import Replicate from "replicate"; const replicate = new Replicate({ auth: process.env.REPLICATE_API_TOKEN, });Run qunash/circassian-culture-flux-3000-steps using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.
const output = await replicate.run( "qunash/circassian-culture-flux-3000-steps:bf772d87d563c647335dd4bdf50ca56ee5ced4fe55bf0e8ed3d7f874303ae688", { input: { model: "dev", prompt: "An artistic fashion shot of a woman wearing elegant traditional Circassian dress, taken from a dramatic low angle against a backdrop of a blue sky. The treatment adds a timeless quality to the image, with the strong pose and intense expression creating a powerful visual narrative. The contrast between the woman's outfit and the sky enhances the surreal feel of the image. Inspired by avant-garde fashion photography, bold contrasts, surreal perspectives, minimalistic background", lora_scale: 1, num_outputs: 4, aspect_ratio: "1:1", output_format: "webp", guidance_scale: 3.5, output_quality: 80, num_inference_steps: 28 } } ); // To access the file URL: console.log(output[0].url()); //=> "http://example.com" // To write the file to disk: fs.writeFile("my-image.png", output[0]);To learn more, take a look at the guide on getting started with Node.js.
Install Replicate’s Python client library:pip install replicateImport the client:import replicateRun qunash/circassian-culture-flux-3000-steps using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.
output = replicate.run( "qunash/circassian-culture-flux-3000-steps:bf772d87d563c647335dd4bdf50ca56ee5ced4fe55bf0e8ed3d7f874303ae688", input={ "model": "dev", "prompt": "An artistic fashion shot of a woman wearing elegant traditional Circassian dress, taken from a dramatic low angle against a backdrop of a blue sky. The treatment adds a timeless quality to the image, with the strong pose and intense expression creating a powerful visual narrative. The contrast between the woman's outfit and the sky enhances the surreal feel of the image. Inspired by avant-garde fashion photography, bold contrasts, surreal perspectives, minimalistic background", "lora_scale": 1, "num_outputs": 4, "aspect_ratio": "1:1", "output_format": "webp", "guidance_scale": 3.5, "output_quality": 80, "num_inference_steps": 28 } ) print(output)To learn more, take a look at the guide on getting started with Python.
Run qunash/circassian-culture-flux-3000-steps using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.
curl -s -X POST \ -H "Authorization: Bearer $REPLICATE_API_TOKEN" \ -H "Content-Type: application/json" \ -H "Prefer: wait" \ -d $'{ "version": "qunash/circassian-culture-flux-3000-steps:bf772d87d563c647335dd4bdf50ca56ee5ced4fe55bf0e8ed3d7f874303ae688", "input": { "model": "dev", "prompt": "An artistic fashion shot of a woman wearing elegant traditional Circassian dress, taken from a dramatic low angle against a backdrop of a blue sky. The treatment adds a timeless quality to the image, with the strong pose and intense expression creating a powerful visual narrative. The contrast between the woman\'s outfit and the sky enhances the surreal feel of the image. Inspired by avant-garde fashion photography, bold contrasts, surreal perspectives, minimalistic background", "lora_scale": 1, "num_outputs": 4, "aspect_ratio": "1:1", "output_format": "webp", "guidance_scale": 3.5, "output_quality": 80, "num_inference_steps": 28 } }' \ https://api.replicate.com/v1/predictionsTo learn more, take a look at Replicate’s HTTP API reference docs.
Output
{ "completed_at": "2024-08-26T09:51:34.589723Z", "created_at": "2024-08-26T09:50:55.781000Z", "data_removed": false, "error": null, "id": "tfhc8evz4nrm40chhrcb1g6rkm", "input": { "model": "dev", "prompt": "An artistic fashion shot of a woman wearing elegant traditional Circassian dress, taken from a dramatic low angle against a backdrop of a blue sky. The treatment adds a timeless quality to the image, with the strong pose and intense expression creating a powerful visual narrative. The contrast between the woman's outfit and the sky enhances the surreal feel of the image. Inspired by avant-garde fashion photography, bold contrasts, surreal perspectives, minimalistic background", "lora_scale": 1, "num_outputs": 4, "aspect_ratio": "1:1", "output_format": "webp", "guidance_scale": 3.5, "output_quality": 80, "num_inference_steps": 28 }, "logs": "Using seed: 19131\nPrompt: An artistic fashion shot of a woman wearing elegant traditional Circassian dress, taken from a dramatic low angle against a backdrop of a blue sky. The treatment adds a timeless quality to the image, with the strong pose and intense expression creating a powerful visual narrative. The contrast between the woman's outfit and the sky enhances the surreal feel of the image. Inspired by avant-garde fashion photography, bold contrasts, surreal perspectives, minimalistic background\ntxt2img mode\nUsing dev model\nLoaded LoRAs in 9.48s\nThe following part of your input was truncated because CLIP can only handle sequences up to 77 tokens: ['fashion photography, bold contrasts, surreal perspectives, minimalistic background', 'fashion photography, bold contrasts, surreal perspectives, minimalistic background', 'fashion photography, bold contrasts, surreal perspectives, minimalistic background', 'fashion photography, bold contrasts, surreal perspectives, minimalistic background']\n 0%| | 0/28 [00:00<?, ?it/s]\n 4%|▎ | 1/28 [00:00<00:26, 1.01it/s]\n 7%|▋ | 2/28 [00:01<00:22, 1.15it/s]\n 11%|█ | 3/28 [00:02<00:23, 1.08it/s]\n 14%|█▍ | 4/28 [00:03<00:22, 1.05it/s]\n 18%|█▊ | 5/28 [00:04<00:22, 1.03it/s]\n 21%|██▏ | 6/28 [00:05<00:21, 1.02it/s]\n 25%|██▌ | 7/28 [00:06<00:20, 1.02it/s]\n 29%|██▊ | 8/28 [00:07<00:19, 1.01it/s]\n 32%|███▏ | 9/28 [00:08<00:18, 1.01it/s]\n 36%|███▌ | 10/28 [00:09<00:17, 1.01it/s]\n 39%|███▉ | 11/28 [00:10<00:16, 1.01it/s]\n 43%|████▎ | 12/28 [00:11<00:15, 1.01it/s]\n 46%|████▋ | 13/28 [00:12<00:14, 1.00it/s]\n 50%|█████ | 14/28 [00:13<00:13, 1.00it/s]\n 54%|█████▎ | 15/28 [00:14<00:12, 1.00it/s]\n 57%|█████▋ | 16/28 [00:15<00:11, 1.00it/s]\n 61%|██████ | 17/28 [00:16<00:10, 1.00it/s]\n 64%|██████▍ | 18/28 [00:17<00:09, 1.00it/s]\n 68%|██████▊ | 19/28 [00:18<00:08, 1.00it/s]\n 71%|███████▏ | 20/28 [00:19<00:07, 1.00it/s]\n 75%|███████▌ | 21/28 [00:20<00:06, 1.00it/s]\n 79%|███████▊ | 22/28 [00:21<00:05, 1.00it/s]\n 82%|████████▏ | 23/28 [00:22<00:04, 1.00it/s]\n 86%|████████▌ | 24/28 [00:23<00:03, 1.00it/s]\n 89%|████████▉ | 25/28 [00:24<00:02, 1.00it/s]\n 93%|█████████▎| 26/28 [00:25<00:01, 1.00it/s]\n 96%|█████████▋| 27/28 [00:26<00:00, 1.00it/s]\n100%|██████████| 28/28 [00:27<00:00, 1.00it/s]\n100%|██████████| 28/28 [00:27<00:00, 1.01it/s]", "metrics": { "predict_time": 38.799677954, "total_time": 38.808723 }, "output": [ "https://replicate.delivery/yhqm/OdV91UVQIezrB6xrwkZZJjUvwmQckMPI75ZUpZOVlUYTEQrJA/out-0.webp", "https://replicate.delivery/yhqm/Nif24LkaP3S2CSz6iPevpghKiFhERh4faejnvITet47xEB0aC/out-1.webp", "https://replicate.delivery/yhqm/T4IZKg3PZ7ZBE14ZLDXHOVs4CW6PUVHFZUAuloBBLOkJCo1E/out-2.webp", "https://replicate.delivery/yhqm/PfFGUlM9D7XVOyLktnNsmMejB78f4I0Aoc6zwg2uviiNRAtmA/out-3.webp" ], "started_at": "2024-08-26T09:50:55.790045Z", "status": "succeeded", "urls": { "get": "https://api.replicate.com/v1/predictions/tfhc8evz4nrm40chhrcb1g6rkm", "cancel": "https://api.replicate.com/v1/predictions/tfhc8evz4nrm40chhrcb1g6rkm/cancel" }, "version": "bf772d87d563c647335dd4bdf50ca56ee5ced4fe55bf0e8ed3d7f874303ae688" }Generated inUsing seed: 19131 Prompt: An artistic fashion shot of a woman wearing elegant traditional Circassian dress, taken from a dramatic low angle against a backdrop of a blue sky. The treatment adds a timeless quality to the image, with the strong pose and intense expression creating a powerful visual narrative. The contrast between the woman's outfit and the sky enhances the surreal feel of the image. Inspired by avant-garde fashion photography, bold contrasts, surreal perspectives, minimalistic background txt2img mode Using dev model Loaded LoRAs in 9.48s The following part of your input was truncated because CLIP can only handle sequences up to 77 tokens: ['fashion photography, bold contrasts, surreal perspectives, minimalistic background', 'fashion photography, bold contrasts, surreal perspectives, minimalistic background', 'fashion photography, bold contrasts, surreal perspectives, minimalistic background', 'fashion photography, bold contrasts, surreal perspectives, minimalistic background'] 0%| | 0/28 [00:00<?, ?it/s] 4%|▎ | 1/28 [00:00<00:26, 1.01it/s] 7%|▋ | 2/28 [00:01<00:22, 1.15it/s] 11%|█ | 3/28 [00:02<00:23, 1.08it/s] 14%|█▍ | 4/28 [00:03<00:22, 1.05it/s] 18%|█▊ | 5/28 [00:04<00:22, 1.03it/s] 21%|██▏ | 6/28 [00:05<00:21, 1.02it/s] 25%|██▌ | 7/28 [00:06<00:20, 1.02it/s] 29%|██▊ | 8/28 [00:07<00:19, 1.01it/s] 32%|███▏ | 9/28 [00:08<00:18, 1.01it/s] 36%|███▌ | 10/28 [00:09<00:17, 1.01it/s] 39%|███▉ | 11/28 [00:10<00:16, 1.01it/s] 43%|████▎ | 12/28 [00:11<00:15, 1.01it/s] 46%|████▋ | 13/28 [00:12<00:14, 1.00it/s] 50%|█████ | 14/28 [00:13<00:13, 1.00it/s] 54%|█████▎ | 15/28 [00:14<00:12, 1.00it/s] 57%|█████▋ | 16/28 [00:15<00:11, 1.00it/s] 61%|██████ | 17/28 [00:16<00:10, 1.00it/s] 64%|██████▍ | 18/28 [00:17<00:09, 1.00it/s] 68%|██████▊ | 19/28 [00:18<00:08, 1.00it/s] 71%|███████▏ | 20/28 [00:19<00:07, 1.00it/s] 75%|███████▌ | 21/28 [00:20<00:06, 1.00it/s] 79%|███████▊ | 22/28 [00:21<00:05, 1.00it/s] 82%|████████▏ | 23/28 [00:22<00:04, 1.00it/s] 86%|████████▌ | 24/28 [00:23<00:03, 1.00it/s] 89%|████████▉ | 25/28 [00:24<00:02, 1.00it/s] 93%|█████████▎| 26/28 [00:25<00:01, 1.00it/s] 96%|█████████▋| 27/28 [00:26<00:00, 1.00it/s] 100%|██████████| 28/28 [00:27<00:00, 1.00it/s] 100%|██████████| 28/28 [00:27<00:00, 1.01it/s]Prediction
qunash/circassian-culture-flux-3000-steps:bf772d87d563c647335dd4bdf50ca56ee5ced4fe55bf0e8ed3d7f874303ae688IDc3fn6das8srm20chfqr8r1y2wwStatusSucceededSourceWebHardwareH100Total durationCreatedInput
- model
- dev
- prompt
- Renaissance-style oil painting of a Circassian man in traditional black attire, holding a futuristic sci-fi gun. Rich pigments, sfumato technique, and chiaroscuro lighting create depth and drama. Muted earth tones, evoking the style of High Renaissance masters.
- lora_scale
- 1
- num_outputs
- 4
- aspect_ratio
- 1:1
- output_format
- webp
- guidance_scale
- 3.5
- output_quality
- 80
- num_inference_steps
- 50
{ "model": "dev", "prompt": "Renaissance-style oil painting of a Circassian man in traditional black attire, holding a futuristic sci-fi gun. Rich pigments, sfumato technique, and chiaroscuro lighting create depth and drama. Muted earth tones, evoking the style of High Renaissance masters.", "lora_scale": 1, "num_outputs": 4, "aspect_ratio": "1:1", "output_format": "webp", "guidance_scale": 3.5, "output_quality": 80, "num_inference_steps": 50 }Install Replicate’s Node.js client library:npm install replicateImport and set up the client:import Replicate from "replicate"; const replicate = new Replicate({ auth: process.env.REPLICATE_API_TOKEN, });Run qunash/circassian-culture-flux-3000-steps using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.
const output = await replicate.run( "qunash/circassian-culture-flux-3000-steps:bf772d87d563c647335dd4bdf50ca56ee5ced4fe55bf0e8ed3d7f874303ae688", { input: { model: "dev", prompt: "Renaissance-style oil painting of a Circassian man in traditional black attire, holding a futuristic sci-fi gun. Rich pigments, sfumato technique, and chiaroscuro lighting create depth and drama. Muted earth tones, evoking the style of High Renaissance masters.", lora_scale: 1, num_outputs: 4, aspect_ratio: "1:1", output_format: "webp", guidance_scale: 3.5, output_quality: 80, num_inference_steps: 50 } } ); // To access the file URL: console.log(output[0].url()); //=> "http://example.com" // To write the file to disk: fs.writeFile("my-image.png", output[0]);To learn more, take a look at the guide on getting started with Node.js.
Install Replicate’s Python client library:pip install replicateImport the client:import replicateRun qunash/circassian-culture-flux-3000-steps using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.
output = replicate.run( "qunash/circassian-culture-flux-3000-steps:bf772d87d563c647335dd4bdf50ca56ee5ced4fe55bf0e8ed3d7f874303ae688", input={ "model": "dev", "prompt": "Renaissance-style oil painting of a Circassian man in traditional black attire, holding a futuristic sci-fi gun. Rich pigments, sfumato technique, and chiaroscuro lighting create depth and drama. Muted earth tones, evoking the style of High Renaissance masters.", "lora_scale": 1, "num_outputs": 4, "aspect_ratio": "1:1", "output_format": "webp", "guidance_scale": 3.5, "output_quality": 80, "num_inference_steps": 50 } ) print(output)To learn more, take a look at the guide on getting started with Python.
Run qunash/circassian-culture-flux-3000-steps using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.
curl -s -X POST \ -H "Authorization: Bearer $REPLICATE_API_TOKEN" \ -H "Content-Type: application/json" \ -H "Prefer: wait" \ -d $'{ "version": "qunash/circassian-culture-flux-3000-steps:bf772d87d563c647335dd4bdf50ca56ee5ced4fe55bf0e8ed3d7f874303ae688", "input": { "model": "dev", "prompt": "Renaissance-style oil painting of a Circassian man in traditional black attire, holding a futuristic sci-fi gun. Rich pigments, sfumato technique, and chiaroscuro lighting create depth and drama. Muted earth tones, evoking the style of High Renaissance masters.", "lora_scale": 1, "num_outputs": 4, "aspect_ratio": "1:1", "output_format": "webp", "guidance_scale": 3.5, "output_quality": 80, "num_inference_steps": 50 } }' \ https://api.replicate.com/v1/predictionsTo learn more, take a look at Replicate’s HTTP API reference docs.
Output
{ "completed_at": "2024-08-23T06:34:10.676718Z", "created_at": "2024-08-23T06:33:09.190000Z", "data_removed": false, "error": null, "id": "c3fn6das8srm20chfqr8r1y2ww", "input": { "model": "dev", "prompt": "Renaissance-style oil painting of a Circassian man in traditional black attire, holding a futuristic sci-fi gun. Rich pigments, sfumato technique, and chiaroscuro lighting create depth and drama. Muted earth tones, evoking the style of High Renaissance masters.", "lora_scale": 1, "num_outputs": 4, "aspect_ratio": "1:1", "output_format": "webp", "guidance_scale": 3.5, "output_quality": 80, "num_inference_steps": 50 }, "logs": "Using seed: 35390\nPrompt: Renaissance-style oil painting of a Circassian man in traditional black attire, holding a futuristic sci-fi gun. Rich pigments, sfumato technique, and chiaroscuro lighting create depth and drama. Muted earth tones, evoking the style of High Renaissance masters.\ntxt2img mode\nUsing dev model\nLoading LoRA weights\nEnsuring enough disk space...\nFree disk space: 9752852639744\nDownloading weights\n2024-08-23T06:33:09Z | INFO | [ Initiating ] chunk_size=150M dest=/src/weights-cache/41925a20b164b9c8 url=https://replicate.delivery/yhqm/wtXcKcWjsU6cOp1w1M0S5Pa3xxgzfXymMQmF8n3T7NmCz1pJA/trained_model.tar\n2024-08-23T06:33:11Z | INFO | [ Complete ] dest=/src/weights-cache/41925a20b164b9c8 size=\"172 MB\" total_elapsed=1.861s url=https://replicate.delivery/yhqm/wtXcKcWjsU6cOp1w1M0S5Pa3xxgzfXymMQmF8n3T7NmCz1pJA/trained_model.tar\nb''\nDownloaded weights in 1.888599157333374 seconds\nLoRA weights loaded successfully\n 0%| | 0/50 [00:00<?, ?it/s]\n 2%|▏ | 1/50 [00:01<00:49, 1.02s/it]\n 4%|▍ | 2/50 [00:01<00:42, 1.13it/s]\n 6%|▌ | 3/50 [00:02<00:44, 1.06it/s]\n 8%|▊ | 4/50 [00:03<00:44, 1.03it/s]\n 10%|█ | 5/50 [00:04<00:44, 1.01it/s]\n 12%|█▏ | 6/50 [00:05<00:43, 1.00it/s]\n 14%|█▍ | 7/50 [00:06<00:43, 1.00s/it]\n 16%|█▌ | 8/50 [00:07<00:42, 1.01s/it]\n 18%|█▊ | 9/50 [00:08<00:41, 1.01s/it]\n 20%|██ | 10/50 [00:09<00:40, 1.01s/it]\n 22%|██▏ | 11/50 [00:10<00:39, 1.01s/it]\n 24%|██▍ | 12/50 [00:11<00:38, 1.01s/it]\n 26%|██▌ | 13/50 [00:12<00:37, 1.02s/it]\n 28%|██▊ | 14/50 [00:13<00:36, 1.01s/it]\n 30%|███ | 15/50 [00:15<00:35, 1.02s/it]\n 32%|███▏ | 16/50 [00:16<00:34, 1.01s/it]\n 34%|███▍ | 17/50 [00:17<00:33, 1.02s/it]\n 36%|███▌ | 18/50 [00:18<00:32, 1.01s/it]\n 38%|███▊ | 19/50 [00:19<00:31, 1.02s/it]\n 40%|████ | 20/50 [00:20<00:30, 1.02s/it]\n 42%|████▏ | 21/50 [00:21<00:29, 1.02s/it]\n 44%|████▍ | 22/50 [00:22<00:28, 1.02s/it]\n 46%|████▌ | 23/50 [00:23<00:27, 1.02s/it]\n 48%|████▊ | 24/50 [00:24<00:26, 1.02s/it]\n 50%|█████ | 25/50 [00:25<00:25, 1.02s/it]\n 52%|█████▏ | 26/50 [00:26<00:24, 1.02s/it]\n 54%|█████▍ | 27/50 [00:27<00:23, 1.02s/it]\n 56%|█████▌ | 28/50 [00:28<00:22, 1.02s/it]\n 58%|█████▊ | 29/50 [00:29<00:21, 1.02s/it]\n 60%|██████ | 30/50 [00:30<00:20, 1.02s/it]\n 62%|██████▏ | 31/50 [00:31<00:19, 1.02s/it]\n 64%|██████▍ | 32/50 [00:32<00:18, 1.02s/it]\n 66%|██████▌ | 33/50 [00:33<00:17, 1.02s/it]\n 68%|██████▊ | 34/50 [00:34<00:16, 1.02s/it]\n 70%|███████ | 35/50 [00:35<00:15, 1.02s/it]\n 72%|███████▏ | 36/50 [00:36<00:14, 1.02s/it]\n 74%|███████▍ | 37/50 [00:37<00:13, 1.02s/it]\n 76%|███████▌ | 38/50 [00:38<00:12, 1.02s/it]\n 78%|███████▊ | 39/50 [00:39<00:11, 1.02s/it]\n 80%|████████ | 40/50 [00:40<00:10, 1.02s/it]\n 82%|████████▏ | 41/50 [00:41<00:09, 1.02s/it]\n 84%|████████▍ | 42/50 [00:42<00:08, 1.02s/it]\n 86%|████████▌ | 43/50 [00:43<00:07, 1.02s/it]\n 88%|████████▊ | 44/50 [00:44<00:06, 1.02s/it]\n 90%|█████████ | 45/50 [00:45<00:05, 1.02s/it]\n 92%|█████████▏| 46/50 [00:46<00:04, 1.02s/it]\n 94%|█████████▍| 47/50 [00:47<00:03, 1.02s/it]\n 96%|█████████▌| 48/50 [00:48<00:02, 1.02s/it]\n 98%|█████████▊| 49/50 [00:49<00:01, 1.02s/it]\n100%|██████████| 50/50 [00:50<00:00, 1.02s/it]\n100%|██████████| 50/50 [00:50<00:00, 1.01s/it]", "metrics": { "predict_time": 61.479525724, "total_time": 61.486718 }, "output": [ "https://replicate.delivery/yhqm/jwigSb3SpNYTB1hbMmz6sNuRaYQeduVm8fM7cbS4z6Ri9dVTA/out-0.webp", "https://replicate.delivery/yhqm/uVL1W7BlGfSQfEHoeSeeE3BEeXB0Rxl9mcvb7jsZhDsoYfuqJA/out-1.webp", "https://replicate.delivery/yhqm/ZOJ6PM6tAoIZMtFTGLKke4i5RLGQibbMf9Qu37w40NHi9dVTA/out-2.webp", "https://replicate.delivery/yhqm/m8QTbfWso0we1kWISlh0jxWUJv5GJrvEhIns1SAgkCyi9dVTA/out-3.webp" ], "started_at": "2024-08-23T06:33:09.197192Z", "status": "succeeded", "urls": { "get": "https://api.replicate.com/v1/predictions/c3fn6das8srm20chfqr8r1y2ww", "cancel": "https://api.replicate.com/v1/predictions/c3fn6das8srm20chfqr8r1y2ww/cancel" }, "version": "bf772d87d563c647335dd4bdf50ca56ee5ced4fe55bf0e8ed3d7f874303ae688" }Generated inUsing seed: 35390 Prompt: Renaissance-style oil painting of a Circassian man in traditional black attire, holding a futuristic sci-fi gun. Rich pigments, sfumato technique, and chiaroscuro lighting create depth and drama. Muted earth tones, evoking the style of High Renaissance masters. txt2img mode Using dev model Loading LoRA weights Ensuring enough disk space... Free disk space: 9752852639744 Downloading weights 2024-08-23T06:33:09Z | INFO | [ Initiating ] chunk_size=150M dest=/src/weights-cache/41925a20b164b9c8 url=https://replicate.delivery/yhqm/wtXcKcWjsU6cOp1w1M0S5Pa3xxgzfXymMQmF8n3T7NmCz1pJA/trained_model.tar 2024-08-23T06:33:11Z | INFO | [ Complete ] dest=/src/weights-cache/41925a20b164b9c8 size="172 MB" total_elapsed=1.861s url=https://replicate.delivery/yhqm/wtXcKcWjsU6cOp1w1M0S5Pa3xxgzfXymMQmF8n3T7NmCz1pJA/trained_model.tar b'' Downloaded weights in 1.888599157333374 seconds LoRA weights loaded successfully 0%| | 0/50 [00:00<?, ?it/s] 2%|▏ | 1/50 [00:01<00:49, 1.02s/it] 4%|▍ | 2/50 [00:01<00:42, 1.13it/s] 6%|▌ | 3/50 [00:02<00:44, 1.06it/s] 8%|▊ | 4/50 [00:03<00:44, 1.03it/s] 10%|█ | 5/50 [00:04<00:44, 1.01it/s] 12%|█▏ | 6/50 [00:05<00:43, 1.00it/s] 14%|█▍ | 7/50 [00:06<00:43, 1.00s/it] 16%|█▌ | 8/50 [00:07<00:42, 1.01s/it] 18%|█▊ | 9/50 [00:08<00:41, 1.01s/it] 20%|██ | 10/50 [00:09<00:40, 1.01s/it] 22%|██▏ | 11/50 [00:10<00:39, 1.01s/it] 24%|██▍ | 12/50 [00:11<00:38, 1.01s/it] 26%|██▌ | 13/50 [00:12<00:37, 1.02s/it] 28%|██▊ | 14/50 [00:13<00:36, 1.01s/it] 30%|███ | 15/50 [00:15<00:35, 1.02s/it] 32%|███▏ | 16/50 [00:16<00:34, 1.01s/it] 34%|███▍ | 17/50 [00:17<00:33, 1.02s/it] 36%|███▌ | 18/50 [00:18<00:32, 1.01s/it] 38%|███▊ | 19/50 [00:19<00:31, 1.02s/it] 40%|████ | 20/50 [00:20<00:30, 1.02s/it] 42%|████▏ | 21/50 [00:21<00:29, 1.02s/it] 44%|████▍ | 22/50 [00:22<00:28, 1.02s/it] 46%|████▌ | 23/50 [00:23<00:27, 1.02s/it] 48%|████▊ | 24/50 [00:24<00:26, 1.02s/it] 50%|█████ | 25/50 [00:25<00:25, 1.02s/it] 52%|█████▏ | 26/50 [00:26<00:24, 1.02s/it] 54%|█████▍ | 27/50 [00:27<00:23, 1.02s/it] 56%|█████▌ | 28/50 [00:28<00:22, 1.02s/it] 58%|█████▊ | 29/50 [00:29<00:21, 1.02s/it] 60%|██████ | 30/50 [00:30<00:20, 1.02s/it] 62%|██████▏ | 31/50 [00:31<00:19, 1.02s/it] 64%|██████▍ | 32/50 [00:32<00:18, 1.02s/it] 66%|██████▌ | 33/50 [00:33<00:17, 1.02s/it] 68%|██████▊ | 34/50 [00:34<00:16, 1.02s/it] 70%|███████ | 35/50 [00:35<00:15, 1.02s/it] 72%|███████▏ | 36/50 [00:36<00:14, 1.02s/it] 74%|███████▍ | 37/50 [00:37<00:13, 1.02s/it] 76%|███████▌ | 38/50 [00:38<00:12, 1.02s/it] 78%|███████▊ | 39/50 [00:39<00:11, 1.02s/it] 80%|████████ | 40/50 [00:40<00:10, 1.02s/it] 82%|████████▏ | 41/50 [00:41<00:09, 1.02s/it] 84%|████████▍ | 42/50 [00:42<00:08, 1.02s/it] 86%|████████▌ | 43/50 [00:43<00:07, 1.02s/it] 88%|████████▊ | 44/50 [00:44<00:06, 1.02s/it] 90%|█████████ | 45/50 [00:45<00:05, 1.02s/it] 92%|█████████▏| 46/50 [00:46<00:04, 1.02s/it] 94%|█████████▍| 47/50 [00:47<00:03, 1.02s/it] 96%|█████████▌| 48/50 [00:48<00:02, 1.02s/it] 98%|█████████▊| 49/50 [00:49<00:01, 1.02s/it] 100%|██████████| 50/50 [00:50<00:00, 1.02s/it] 100%|██████████| 50/50 [00:50<00:00, 1.01s/it]Prediction
qunash/circassian-culture-flux-3000-steps:bf772d87d563c647335dd4bdf50ca56ee5ced4fe55bf0e8ed3d7f874303ae688IDa9twvgagghrm60chhrda6kczq4StatusSucceededSourceWebHardwareH100Total durationCreatedInput
- model
- dev
- prompt
- (screenshot) from dorama episode, woman in Circassian dress
- lora_scale
- 1
- num_outputs
- 4
- aspect_ratio
- 1:1
- output_format
- webp
- guidance_scale
- 3.5
- output_quality
- 80
- num_inference_steps
- 28
{ "model": "dev", "prompt": "(screenshot) from dorama episode, woman in Circassian dress", "lora_scale": 1, "num_outputs": 4, "aspect_ratio": "1:1", "output_format": "webp", "guidance_scale": 3.5, "output_quality": 80, "num_inference_steps": 28 }Install Replicate’s Node.js client library:npm install replicateImport and set up the client:import Replicate from "replicate"; const replicate = new Replicate({ auth: process.env.REPLICATE_API_TOKEN, });Run qunash/circassian-culture-flux-3000-steps using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.
const output = await replicate.run( "qunash/circassian-culture-flux-3000-steps:bf772d87d563c647335dd4bdf50ca56ee5ced4fe55bf0e8ed3d7f874303ae688", { input: { model: "dev", prompt: "(screenshot) from dorama episode, woman in Circassian dress", lora_scale: 1, num_outputs: 4, aspect_ratio: "1:1", output_format: "webp", guidance_scale: 3.5, output_quality: 80, num_inference_steps: 28 } } ); // To access the file URL: console.log(output[0].url()); //=> "http://example.com" // To write the file to disk: fs.writeFile("my-image.png", output[0]);To learn more, take a look at the guide on getting started with Node.js.
Install Replicate’s Python client library:pip install replicateImport the client:import replicateRun qunash/circassian-culture-flux-3000-steps using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.
output = replicate.run( "qunash/circassian-culture-flux-3000-steps:bf772d87d563c647335dd4bdf50ca56ee5ced4fe55bf0e8ed3d7f874303ae688", input={ "model": "dev", "prompt": "(screenshot) from dorama episode, woman in Circassian dress", "lora_scale": 1, "num_outputs": 4, "aspect_ratio": "1:1", "output_format": "webp", "guidance_scale": 3.5, "output_quality": 80, "num_inference_steps": 28 } ) print(output)To learn more, take a look at the guide on getting started with Python.
Run qunash/circassian-culture-flux-3000-steps using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.
curl -s -X POST \ -H "Authorization: Bearer $REPLICATE_API_TOKEN" \ -H "Content-Type: application/json" \ -H "Prefer: wait" \ -d $'{ "version": "qunash/circassian-culture-flux-3000-steps:bf772d87d563c647335dd4bdf50ca56ee5ced4fe55bf0e8ed3d7f874303ae688", "input": { "model": "dev", "prompt": "(screenshot) from dorama episode, woman in Circassian dress", "lora_scale": 1, "num_outputs": 4, "aspect_ratio": "1:1", "output_format": "webp", "guidance_scale": 3.5, "output_quality": 80, "num_inference_steps": 28 } }' \ https://api.replicate.com/v1/predictionsTo learn more, take a look at Replicate’s HTTP API reference docs.
Output
{ "completed_at": "2024-08-26T09:53:33.260095Z", "created_at": "2024-08-26T09:52:54.916000Z", "data_removed": false, "error": null, "id": "a9twvgagghrm60chhrda6kczq4", "input": { "model": "dev", "prompt": "(screenshot) from dorama episode, woman in Circassian dress", "lora_scale": 1, "num_outputs": 4, "aspect_ratio": "1:1", "output_format": "webp", "guidance_scale": 3.5, "output_quality": 80, "num_inference_steps": 28 }, "logs": "Using seed: 6572\nPrompt: (screenshot) from dorama episode, woman in Circassian dress\ntxt2img mode\nUsing dev model\nLoaded LoRAs in 8.92s\n 0%| | 0/28 [00:00<?, ?it/s]\n 4%|▎ | 1/28 [00:00<00:26, 1.00it/s]\n 7%|▋ | 2/28 [00:01<00:22, 1.14it/s]\n 11%|█ | 3/28 [00:02<00:23, 1.07it/s]\n 14%|█▍ | 4/28 [00:03<00:22, 1.04it/s]\n 18%|█▊ | 5/28 [00:04<00:22, 1.03it/s]\n 21%|██▏ | 6/28 [00:05<00:21, 1.02it/s]\n 25%|██▌ | 7/28 [00:06<00:20, 1.01it/s]\n 29%|██▊ | 8/28 [00:07<00:19, 1.01it/s]\n 32%|███▏ | 9/28 [00:08<00:18, 1.00it/s]\n 36%|███▌ | 10/28 [00:09<00:17, 1.00it/s]\n 39%|███▉ | 11/28 [00:10<00:16, 1.00it/s]\n 43%|████▎ | 12/28 [00:11<00:16, 1.00s/it]\n 46%|████▋ | 13/28 [00:12<00:15, 1.00s/it]\n 50%|█████ | 14/28 [00:13<00:14, 1.00s/it]\n 54%|█████▎ | 15/28 [00:14<00:13, 1.00s/it]\n 57%|█████▋ | 16/28 [00:15<00:12, 1.00s/it]\n 61%|██████ | 17/28 [00:16<00:11, 1.00s/it]\n 64%|██████▍ | 18/28 [00:17<00:10, 1.00s/it]\n 68%|██████▊ | 19/28 [00:18<00:09, 1.00s/it]\n 71%|███████▏ | 20/28 [00:19<00:08, 1.00s/it]\n 75%|███████▌ | 21/28 [00:20<00:07, 1.00s/it]\n 79%|███████▊ | 22/28 [00:21<00:06, 1.00s/it]\n 82%|████████▏ | 23/28 [00:22<00:05, 1.01s/it]\n 86%|████████▌ | 24/28 [00:23<00:04, 1.00s/it]\n 89%|████████▉ | 25/28 [00:24<00:03, 1.01s/it]\n 93%|█████████▎| 26/28 [00:25<00:02, 1.01s/it]\n 96%|█████████▋| 27/28 [00:26<00:01, 1.00s/it]\n100%|██████████| 28/28 [00:27<00:00, 1.00s/it]\n100%|██████████| 28/28 [00:27<00:00, 1.00it/s]", "metrics": { "predict_time": 38.335257737, "total_time": 38.344095 }, "output": [ "https://replicate.delivery/yhqm/PeUQDe5vdTu7v0AotXe5DehgUa8I474nJ4O1ZkWKoHfiTB0aC/out-0.webp", "https://replicate.delivery/yhqm/0SlqpWq2PoJTGBedIbgWmxAD1H7WUT1FMtTtHFtH3VzOFQrJA/out-1.webp", "https://replicate.delivery/yhqm/9k9xq77VecT1GimvZ8vvmpceXZgA8XDgtoUehjiKQyN7UAtmA/out-2.webp", "https://replicate.delivery/yhqm/f9jdJbu0kMwGNyld2dMuNfzuFje0Asxe1PKnpAxAgYQ2pAaNB/out-3.webp" ], "started_at": "2024-08-26T09:52:54.924838Z", "status": "succeeded", "urls": { "get": "https://api.replicate.com/v1/predictions/a9twvgagghrm60chhrda6kczq4", "cancel": "https://api.replicate.com/v1/predictions/a9twvgagghrm60chhrda6kczq4/cancel" }, "version": "bf772d87d563c647335dd4bdf50ca56ee5ced4fe55bf0e8ed3d7f874303ae688" }Generated inUsing seed: 6572 Prompt: (screenshot) from dorama episode, woman in Circassian dress txt2img mode Using dev model Loaded LoRAs in 8.92s 0%| | 0/28 [00:00<?, ?it/s] 4%|▎ | 1/28 [00:00<00:26, 1.00it/s] 7%|▋ | 2/28 [00:01<00:22, 1.14it/s] 11%|█ | 3/28 [00:02<00:23, 1.07it/s] 14%|█▍ | 4/28 [00:03<00:22, 1.04it/s] 18%|█▊ | 5/28 [00:04<00:22, 1.03it/s] 21%|██▏ | 6/28 [00:05<00:21, 1.02it/s] 25%|██▌ | 7/28 [00:06<00:20, 1.01it/s] 29%|██▊ | 8/28 [00:07<00:19, 1.01it/s] 32%|███▏ | 9/28 [00:08<00:18, 1.00it/s] 36%|███▌ | 10/28 [00:09<00:17, 1.00it/s] 39%|███▉ | 11/28 [00:10<00:16, 1.00it/s] 43%|████▎ | 12/28 [00:11<00:16, 1.00s/it] 46%|████▋ | 13/28 [00:12<00:15, 1.00s/it] 50%|█████ | 14/28 [00:13<00:14, 1.00s/it] 54%|█████▎ | 15/28 [00:14<00:13, 1.00s/it] 57%|█████▋ | 16/28 [00:15<00:12, 1.00s/it] 61%|██████ | 17/28 [00:16<00:11, 1.00s/it] 64%|██████▍ | 18/28 [00:17<00:10, 1.00s/it] 68%|██████▊ | 19/28 [00:18<00:09, 1.00s/it] 71%|███████▏ | 20/28 [00:19<00:08, 1.00s/it] 75%|███████▌ | 21/28 [00:20<00:07, 1.00s/it] 79%|███████▊ | 22/28 [00:21<00:06, 1.00s/it] 82%|████████▏ | 23/28 [00:22<00:05, 1.01s/it] 86%|████████▌ | 24/28 [00:23<00:04, 1.00s/it] 89%|████████▉ | 25/28 [00:24<00:03, 1.01s/it] 93%|█████████▎| 26/28 [00:25<00:02, 1.01s/it] 96%|█████████▋| 27/28 [00:26<00:01, 1.00s/it] 100%|██████████| 28/28 [00:27<00:00, 1.00s/it] 100%|██████████| 28/28 [00:27<00:00, 1.00it/s]Prediction
qunash/circassian-culture-flux-3000-steps:bf772d87d563c647335dd4bdf50ca56ee5ced4fe55bf0e8ed3d7f874303ae688IDcyr9wk17adrm00chhreakjekkmStatusSucceededSourceWebHardwareH100Total durationCreatedInput
- model
- dev
- prompt
- Half-length portrait of a young woman a Circassian dress, with veils covering her head, soft melancholic smile, vivid image of multiple layers, very watercolor and colored pencils, vivid and saturated colors, imitating Conrad Roset and Paul Klee and Gil Elvgren, hyper-detailed illustration, background textured, fluidity
- lora_scale
- 1
- num_outputs
- 4
- aspect_ratio
- 1:1
- output_format
- webp
- guidance_scale
- 3.5
- output_quality
- 80
- num_inference_steps
- 28
{ "model": "dev", "prompt": "Half-length portrait of a young woman a Circassian dress, with veils covering her head, soft melancholic smile, vivid image of multiple layers, very watercolor and colored pencils, vivid and saturated colors, imitating Conrad Roset and Paul Klee and Gil Elvgren, hyper-detailed illustration, background textured, fluidity", "lora_scale": 1, "num_outputs": 4, "aspect_ratio": "1:1", "output_format": "webp", "guidance_scale": 3.5, "output_quality": 80, "num_inference_steps": 28 }Install Replicate’s Node.js client library:npm install replicateImport and set up the client:import Replicate from "replicate"; const replicate = new Replicate({ auth: process.env.REPLICATE_API_TOKEN, });Run qunash/circassian-culture-flux-3000-steps using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.
const output = await replicate.run( "qunash/circassian-culture-flux-3000-steps:bf772d87d563c647335dd4bdf50ca56ee5ced4fe55bf0e8ed3d7f874303ae688", { input: { model: "dev", prompt: "Half-length portrait of a young woman a Circassian dress, with veils covering her head, soft melancholic smile, vivid image of multiple layers, very watercolor and colored pencils, vivid and saturated colors, imitating Conrad Roset and Paul Klee and Gil Elvgren, hyper-detailed illustration, background textured, fluidity", lora_scale: 1, num_outputs: 4, aspect_ratio: "1:1", output_format: "webp", guidance_scale: 3.5, output_quality: 80, num_inference_steps: 28 } } ); // To access the file URL: console.log(output[0].url()); //=> "http://example.com" // To write the file to disk: fs.writeFile("my-image.png", output[0]);To learn more, take a look at the guide on getting started with Node.js.
Install Replicate’s Python client library:pip install replicateImport the client:import replicateRun qunash/circassian-culture-flux-3000-steps using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.
output = replicate.run( "qunash/circassian-culture-flux-3000-steps:bf772d87d563c647335dd4bdf50ca56ee5ced4fe55bf0e8ed3d7f874303ae688", input={ "model": "dev", "prompt": "Half-length portrait of a young woman a Circassian dress, with veils covering her head, soft melancholic smile, vivid image of multiple layers, very watercolor and colored pencils, vivid and saturated colors, imitating Conrad Roset and Paul Klee and Gil Elvgren, hyper-detailed illustration, background textured, fluidity", "lora_scale": 1, "num_outputs": 4, "aspect_ratio": "1:1", "output_format": "webp", "guidance_scale": 3.5, "output_quality": 80, "num_inference_steps": 28 } ) print(output)To learn more, take a look at the guide on getting started with Python.
Run qunash/circassian-culture-flux-3000-steps using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.
curl -s -X POST \ -H "Authorization: Bearer $REPLICATE_API_TOKEN" \ -H "Content-Type: application/json" \ -H "Prefer: wait" \ -d $'{ "version": "qunash/circassian-culture-flux-3000-steps:bf772d87d563c647335dd4bdf50ca56ee5ced4fe55bf0e8ed3d7f874303ae688", "input": { "model": "dev", "prompt": "Half-length portrait of a young woman a Circassian dress, with veils covering her head, soft melancholic smile, vivid image of multiple layers, very watercolor and colored pencils, vivid and saturated colors, imitating Conrad Roset and Paul Klee and Gil Elvgren, hyper-detailed illustration, background textured, fluidity", "lora_scale": 1, "num_outputs": 4, "aspect_ratio": "1:1", "output_format": "webp", "guidance_scale": 3.5, "output_quality": 80, "num_inference_steps": 28 } }' \ https://api.replicate.com/v1/predictionsTo learn more, take a look at Replicate’s HTTP API reference docs.
Output
{ "completed_at": "2024-08-26T09:55:43.649133Z", "created_at": "2024-08-26T09:54:55.443000Z", "data_removed": false, "error": null, "id": "cyr9wk17adrm00chhreakjekkm", "input": { "model": "dev", "prompt": "Half-length portrait of a young woman a Circassian dress, with veils covering her head, soft melancholic smile, vivid image of multiple layers, very watercolor and colored pencils, vivid and saturated colors, imitating Conrad Roset and Paul Klee and Gil Elvgren, hyper-detailed illustration, background textured, fluidity", "lora_scale": 1, "num_outputs": 4, "aspect_ratio": "1:1", "output_format": "webp", "guidance_scale": 3.5, "output_quality": 80, "num_inference_steps": 28 }, "logs": "Using seed: 25747\nPrompt: Half-length portrait of a young woman a Circassian dress, with veils covering her head, soft melancholic smile, vivid image of multiple layers, very watercolor and colored pencils, vivid and saturated colors, imitating Conrad Roset and Paul Klee and Gil Elvgren, hyper-detailed illustration, background textured, fluidity\ntxt2img mode\nUsing dev model\nLoaded LoRAs in 7.97s\n 0%| | 0/28 [00:00<?, ?it/s]\n 4%|▎ | 1/28 [00:01<00:27, 1.02s/it]\n 7%|▋ | 2/28 [00:01<00:23, 1.12it/s]\n 11%|█ | 3/28 [00:02<00:23, 1.05it/s]\n 14%|█▍ | 4/28 [00:03<00:23, 1.02it/s]\n 18%|█▊ | 5/28 [00:04<00:22, 1.00it/s]\n 21%|██▏ | 6/28 [00:05<00:22, 1.00s/it]\n 25%|██▌ | 7/28 [00:06<00:21, 1.01s/it]\n 29%|██▊ | 8/28 [00:07<00:20, 1.01s/it]\n 32%|███▏ | 9/28 [00:08<00:19, 1.02s/it]\n 36%|███▌ | 10/28 [00:10<00:18, 1.02s/it]\n 39%|███▉ | 11/28 [00:11<00:17, 1.03s/it]\n 43%|████▎ | 12/28 [00:12<00:16, 1.03s/it]\n 46%|████▋ | 13/28 [00:13<00:15, 1.03s/it]\n 50%|█████ | 14/28 [00:14<00:14, 1.03s/it]\n 54%|█████▎ | 15/28 [00:15<00:13, 1.02s/it]\n 57%|█████▋ | 16/28 [00:16<00:12, 1.02s/it]\n 61%|██████ | 17/28 [00:17<00:11, 1.02s/it]\n 64%|██████▍ | 18/28 [00:18<00:10, 1.02s/it]\n 68%|██████▊ | 19/28 [00:19<00:09, 1.03s/it]\n 71%|███████▏ | 20/28 [00:20<00:08, 1.03s/it]\n 75%|███████▌ | 21/28 [00:21<00:07, 1.03s/it]\n 79%|███████▊ | 22/28 [00:22<00:06, 1.03s/it]\n 82%|████████▏ | 23/28 [00:23<00:05, 1.03s/it]\n 86%|████████▌ | 24/28 [00:24<00:04, 1.03s/it]\n 89%|████████▉ | 25/28 [00:25<00:03, 1.03s/it]\n 93%|█████████▎| 26/28 [00:26<00:02, 1.03s/it]\n 96%|█████████▋| 27/28 [00:27<00:01, 1.03s/it]\n100%|██████████| 28/28 [00:28<00:00, 1.03s/it]\n100%|██████████| 28/28 [00:28<00:00, 1.02s/it]", "metrics": { "predict_time": 38.223759707, "total_time": 48.206133 }, "output": [ "https://replicate.delivery/yhqm/ZljmNN172QJUMFAw3L9BcnvaSzkcL9wRSz7BH3AZjh3HDo1E/out-0.webp", "https://replicate.delivery/yhqm/ZCMBOxVcdXrEApGoOlQCaueXuiHfuFEI4ZH7NSGXM1SfYAtmA/out-1.webp", "https://replicate.delivery/yhqm/lZ1B9aeDqiRVMaIFZE5Lgkp57v6M8yKZgvOsvePu4CWfYAtmA/out-2.webp", "https://replicate.delivery/yhqm/YPflV1VVZGXTFKWF0QIhIBbenXp1r7LoTBc2rIgKsYOfYAtmA/out-3.webp" ], "started_at": "2024-08-26T09:55:05.425373Z", "status": "succeeded", "urls": { "get": "https://api.replicate.com/v1/predictions/cyr9wk17adrm00chhreakjekkm", "cancel": "https://api.replicate.com/v1/predictions/cyr9wk17adrm00chhreakjekkm/cancel" }, "version": "bf772d87d563c647335dd4bdf50ca56ee5ced4fe55bf0e8ed3d7f874303ae688" }Generated inUsing seed: 25747 Prompt: Half-length portrait of a young woman a Circassian dress, with veils covering her head, soft melancholic smile, vivid image of multiple layers, very watercolor and colored pencils, vivid and saturated colors, imitating Conrad Roset and Paul Klee and Gil Elvgren, hyper-detailed illustration, background textured, fluidity txt2img mode Using dev model Loaded LoRAs in 7.97s 0%| | 0/28 [00:00<?, ?it/s] 4%|▎ | 1/28 [00:01<00:27, 1.02s/it] 7%|▋ | 2/28 [00:01<00:23, 1.12it/s] 11%|█ | 3/28 [00:02<00:23, 1.05it/s] 14%|█▍ | 4/28 [00:03<00:23, 1.02it/s] 18%|█▊ | 5/28 [00:04<00:22, 1.00it/s] 21%|██▏ | 6/28 [00:05<00:22, 1.00s/it] 25%|██▌ | 7/28 [00:06<00:21, 1.01s/it] 29%|██▊ | 8/28 [00:07<00:20, 1.01s/it] 32%|███▏ | 9/28 [00:08<00:19, 1.02s/it] 36%|███▌ | 10/28 [00:10<00:18, 1.02s/it] 39%|███▉ | 11/28 [00:11<00:17, 1.03s/it] 43%|████▎ | 12/28 [00:12<00:16, 1.03s/it] 46%|████▋ | 13/28 [00:13<00:15, 1.03s/it] 50%|█████ | 14/28 [00:14<00:14, 1.03s/it] 54%|█████▎ | 15/28 [00:15<00:13, 1.02s/it] 57%|█████▋ | 16/28 [00:16<00:12, 1.02s/it] 61%|██████ | 17/28 [00:17<00:11, 1.02s/it] 64%|██████▍ | 18/28 [00:18<00:10, 1.02s/it] 68%|██████▊ | 19/28 [00:19<00:09, 1.03s/it] 71%|███████▏ | 20/28 [00:20<00:08, 1.03s/it] 75%|███████▌ | 21/28 [00:21<00:07, 1.03s/it] 79%|███████▊ | 22/28 [00:22<00:06, 1.03s/it] 82%|████████▏ | 23/28 [00:23<00:05, 1.03s/it] 86%|████████▌ | 24/28 [00:24<00:04, 1.03s/it] 89%|████████▉ | 25/28 [00:25<00:03, 1.03s/it] 93%|█████████▎| 26/28 [00:26<00:02, 1.03s/it] 96%|█████████▋| 27/28 [00:27<00:01, 1.03s/it] 100%|██████████| 28/28 [00:28<00:00, 1.03s/it] 100%|██████████| 28/28 [00:28<00:00, 1.02s/it]Prediction
qunash/circassian-culture-flux-3000-steps:bf772d87d563c647335dd4bdf50ca56ee5ced4fe55bf0e8ed3d7f874303ae688ID7xct959xgnrm00chhrmt9z1jhcStatusSucceededSourceWebHardwareH100Total durationCreatedInput
- model
- dev
- prompt
- Half-length portrait of a young woman in a Circassian dress, with veils covering her head, soft melancholic smile, vivid image of multiple layers, very watercolor and colored pencils, vivid and saturated colors, imitating Conrad Roset and Paul Klee and Gil Elvgren, hyper-detailed illustration, background textured, fluidity
- lora_scale
- 1
- num_outputs
- 4
- aspect_ratio
- 1:1
- output_format
- webp
- guidance_scale
- 3.5
- output_quality
- 80
- num_inference_steps
- 28
{ "model": "dev", "prompt": "Half-length portrait of a young woman in a Circassian dress, with veils covering her head, soft melancholic smile, vivid image of multiple layers, very watercolor and colored pencils, vivid and saturated colors, imitating Conrad Roset and Paul Klee and Gil Elvgren, hyper-detailed illustration, background textured, fluidity", "lora_scale": 1, "num_outputs": 4, "aspect_ratio": "1:1", "output_format": "webp", "guidance_scale": 3.5, "output_quality": 80, "num_inference_steps": 28 }Install Replicate’s Node.js client library:npm install replicateImport and set up the client:import Replicate from "replicate"; const replicate = new Replicate({ auth: process.env.REPLICATE_API_TOKEN, });Run qunash/circassian-culture-flux-3000-steps using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.
const output = await replicate.run( "qunash/circassian-culture-flux-3000-steps:bf772d87d563c647335dd4bdf50ca56ee5ced4fe55bf0e8ed3d7f874303ae688", { input: { model: "dev", prompt: "Half-length portrait of a young woman in a Circassian dress, with veils covering her head, soft melancholic smile, vivid image of multiple layers, very watercolor and colored pencils, vivid and saturated colors, imitating Conrad Roset and Paul Klee and Gil Elvgren, hyper-detailed illustration, background textured, fluidity", lora_scale: 1, num_outputs: 4, aspect_ratio: "1:1", output_format: "webp", guidance_scale: 3.5, output_quality: 80, num_inference_steps: 28 } } ); // To access the file URL: console.log(output[0].url()); //=> "http://example.com" // To write the file to disk: fs.writeFile("my-image.png", output[0]);To learn more, take a look at the guide on getting started with Node.js.
Install Replicate’s Python client library:pip install replicateImport the client:import replicateRun qunash/circassian-culture-flux-3000-steps using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.
output = replicate.run( "qunash/circassian-culture-flux-3000-steps:bf772d87d563c647335dd4bdf50ca56ee5ced4fe55bf0e8ed3d7f874303ae688", input={ "model": "dev", "prompt": "Half-length portrait of a young woman in a Circassian dress, with veils covering her head, soft melancholic smile, vivid image of multiple layers, very watercolor and colored pencils, vivid and saturated colors, imitating Conrad Roset and Paul Klee and Gil Elvgren, hyper-detailed illustration, background textured, fluidity", "lora_scale": 1, "num_outputs": 4, "aspect_ratio": "1:1", "output_format": "webp", "guidance_scale": 3.5, "output_quality": 80, "num_inference_steps": 28 } ) print(output)To learn more, take a look at the guide on getting started with Python.
Run qunash/circassian-culture-flux-3000-steps using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.
curl -s -X POST \ -H "Authorization: Bearer $REPLICATE_API_TOKEN" \ -H "Content-Type: application/json" \ -H "Prefer: wait" \ -d $'{ "version": "qunash/circassian-culture-flux-3000-steps:bf772d87d563c647335dd4bdf50ca56ee5ced4fe55bf0e8ed3d7f874303ae688", "input": { "model": "dev", "prompt": "Half-length portrait of a young woman in a Circassian dress, with veils covering her head, soft melancholic smile, vivid image of multiple layers, very watercolor and colored pencils, vivid and saturated colors, imitating Conrad Roset and Paul Klee and Gil Elvgren, hyper-detailed illustration, background textured, fluidity", "lora_scale": 1, "num_outputs": 4, "aspect_ratio": "1:1", "output_format": "webp", "guidance_scale": 3.5, "output_quality": 80, "num_inference_steps": 28 } }' \ https://api.replicate.com/v1/predictionsTo learn more, take a look at Replicate’s HTTP API reference docs.
Output
{ "completed_at": "2024-08-26T10:09:52.619129Z", "created_at": "2024-08-26T10:09:13.093000Z", "data_removed": false, "error": null, "id": "7xct959xgnrm00chhrmt9z1jhc", "input": { "model": "dev", "prompt": "Half-length portrait of a young woman in a Circassian dress, with veils covering her head, soft melancholic smile, vivid image of multiple layers, very watercolor and colored pencils, vivid and saturated colors, imitating Conrad Roset and Paul Klee and Gil Elvgren, hyper-detailed illustration, background textured, fluidity", "lora_scale": 1, "num_outputs": 4, "aspect_ratio": "1:1", "output_format": "webp", "guidance_scale": 3.5, "output_quality": 80, "num_inference_steps": 28 }, "logs": "Using seed: 59674\nPrompt: Half-length portrait of a young woman in a Circassian dress, with veils covering her head, soft melancholic smile, vivid image of multiple layers, very watercolor and colored pencils, vivid and saturated colors, imitating Conrad Roset and Paul Klee and Gil Elvgren, hyper-detailed illustration, background textured, fluidity\ntxt2img mode\nUsing dev model\nLoaded LoRAs in 9.42s\n 0%| | 0/28 [00:00<?, ?it/s]\n 4%|▎ | 1/28 [00:01<00:27, 1.02s/it]\n 7%|▋ | 2/28 [00:01<00:23, 1.13it/s]\n 11%|█ | 3/28 [00:02<00:23, 1.05it/s]\n 14%|█▍ | 4/28 [00:03<00:23, 1.02it/s]\n 18%|█▊ | 5/28 [00:04<00:22, 1.01it/s]\n 21%|██▏ | 6/28 [00:05<00:22, 1.00s/it]\n 25%|██▌ | 7/28 [00:06<00:21, 1.01s/it]\n 29%|██▊ | 8/28 [00:07<00:20, 1.01s/it]\n 32%|███▏ | 9/28 [00:08<00:19, 1.01s/it]\n 36%|███▌ | 10/28 [00:09<00:18, 1.01s/it]\n 39%|███▉ | 11/28 [00:10<00:17, 1.02s/it]\n 43%|████▎ | 12/28 [00:12<00:16, 1.02s/it]\n 46%|████▋ | 13/28 [00:13<00:15, 1.02s/it]\n 50%|█████ | 14/28 [00:14<00:14, 1.02s/it]\n 54%|█████▎ | 15/28 [00:15<00:13, 1.02s/it]\n 57%|█████▋ | 16/28 [00:16<00:12, 1.02s/it]\n 61%|██████ | 17/28 [00:17<00:11, 1.02s/it]\n 64%|██████▍ | 18/28 [00:18<00:10, 1.02s/it]\n 68%|██████▊ | 19/28 [00:19<00:09, 1.02s/it]\n 71%|███████▏ | 20/28 [00:20<00:08, 1.02s/it]\n 75%|███████▌ | 21/28 [00:21<00:07, 1.02s/it]\n 79%|███████▊ | 22/28 [00:22<00:06, 1.02s/it]\n 82%|████████▏ | 23/28 [00:23<00:05, 1.02s/it]\n 86%|████████▌ | 24/28 [00:24<00:04, 1.02s/it]\n 89%|████████▉ | 25/28 [00:25<00:03, 1.02s/it]\n 93%|█████████▎| 26/28 [00:26<00:02, 1.02s/it]\n 96%|█████████▋| 27/28 [00:27<00:01, 1.02s/it]\n100%|██████████| 28/28 [00:28<00:00, 1.02s/it]\n100%|██████████| 28/28 [00:28<00:00, 1.01s/it]", "metrics": { "predict_time": 39.514740866, "total_time": 39.526129 }, "output": [ "https://replicate.delivery/yhqm/w9ju7XV3INoXEZrVnjYsPTjJ1X72ItTcY4SvtmXBPaHcGo1E/out-0.webp", "https://replicate.delivery/yhqm/OQnBABqP2V5eJSEQYGdYQQBpeno7xA3oHuyyHXV6OIOwZgWTA/out-1.webp", "https://replicate.delivery/yhqm/eNkks1TX4i3lDqQLamMsjyIPMEIBbOnP2eVWgz43X1zwZgWTA/out-2.webp", "https://replicate.delivery/yhqm/79SgkOPZY7ofFCgXn9oOmhg9CcXu6KAPtu4VafZm6wXwZgWTA/out-3.webp" ], "started_at": "2024-08-26T10:09:13.104388Z", "status": "succeeded", "urls": { "get": "https://api.replicate.com/v1/predictions/7xct959xgnrm00chhrmt9z1jhc", "cancel": "https://api.replicate.com/v1/predictions/7xct959xgnrm00chhrmt9z1jhc/cancel" }, "version": "bf772d87d563c647335dd4bdf50ca56ee5ced4fe55bf0e8ed3d7f874303ae688" }Generated inUsing seed: 59674 Prompt: Half-length portrait of a young woman in a Circassian dress, with veils covering her head, soft melancholic smile, vivid image of multiple layers, very watercolor and colored pencils, vivid and saturated colors, imitating Conrad Roset and Paul Klee and Gil Elvgren, hyper-detailed illustration, background textured, fluidity txt2img mode Using dev model Loaded LoRAs in 9.42s 0%| | 0/28 [00:00<?, ?it/s] 4%|▎ | 1/28 [00:01<00:27, 1.02s/it] 7%|▋ | 2/28 [00:01<00:23, 1.13it/s] 11%|█ | 3/28 [00:02<00:23, 1.05it/s] 14%|█▍ | 4/28 [00:03<00:23, 1.02it/s] 18%|█▊ | 5/28 [00:04<00:22, 1.01it/s] 21%|██▏ | 6/28 [00:05<00:22, 1.00s/it] 25%|██▌ | 7/28 [00:06<00:21, 1.01s/it] 29%|██▊ | 8/28 [00:07<00:20, 1.01s/it] 32%|███▏ | 9/28 [00:08<00:19, 1.01s/it] 36%|███▌ | 10/28 [00:09<00:18, 1.01s/it] 39%|███▉ | 11/28 [00:10<00:17, 1.02s/it] 43%|████▎ | 12/28 [00:12<00:16, 1.02s/it] 46%|████▋ | 13/28 [00:13<00:15, 1.02s/it] 50%|█████ | 14/28 [00:14<00:14, 1.02s/it] 54%|█████▎ | 15/28 [00:15<00:13, 1.02s/it] 57%|█████▋ | 16/28 [00:16<00:12, 1.02s/it] 61%|██████ | 17/28 [00:17<00:11, 1.02s/it] 64%|██████▍ | 18/28 [00:18<00:10, 1.02s/it] 68%|██████▊ | 19/28 [00:19<00:09, 1.02s/it] 71%|███████▏ | 20/28 [00:20<00:08, 1.02s/it] 75%|███████▌ | 21/28 [00:21<00:07, 1.02s/it] 79%|███████▊ | 22/28 [00:22<00:06, 1.02s/it] 82%|████████▏ | 23/28 [00:23<00:05, 1.02s/it] 86%|████████▌ | 24/28 [00:24<00:04, 1.02s/it] 89%|████████▉ | 25/28 [00:25<00:03, 1.02s/it] 93%|█████████▎| 26/28 [00:26<00:02, 1.02s/it] 96%|█████████▋| 27/28 [00:27<00:01, 1.02s/it] 100%|██████████| 28/28 [00:28<00:00, 1.02s/it] 100%|██████████| 28/28 [00:28<00:00, 1.01s/it]Prediction
qunash/circassian-culture-flux-3000-steps:bf772d87d563c647335dd4bdf50ca56ee5ced4fe55bf0e8ed3d7f874303ae688ID77eg8v85sxrm00chde5a8a6py0StatusSucceededSourceWebHardwareH100Total durationCreatedInput
- model
- dev
- prompt
- An elegant Art Nouveau-style poster with sinuous, organic lines frames a scene from Circassian folklore. A radiant golden tree of life, its branches swirling with symbolic Circassian motifs. Beautiful colors.
- lora_scale
- 1
- num_outputs
- 4
- aspect_ratio
- 1:1
- output_format
- webp
- guidance_scale
- 3.5
- output_quality
- 80
- num_inference_steps
- 50
{ "model": "dev", "prompt": "An elegant Art Nouveau-style poster with sinuous, organic lines frames a scene from Circassian folklore. A radiant golden tree of life, its branches swirling with symbolic Circassian motifs. Beautiful colors.", "lora_scale": 1, "num_outputs": 4, "aspect_ratio": "1:1", "output_format": "webp", "guidance_scale": 3.5, "output_quality": 80, "num_inference_steps": 50 }Install Replicate’s Node.js client library:npm install replicateImport and set up the client:import Replicate from "replicate"; const replicate = new Replicate({ auth: process.env.REPLICATE_API_TOKEN, });Run qunash/circassian-culture-flux-3000-steps using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.
const output = await replicate.run( "qunash/circassian-culture-flux-3000-steps:bf772d87d563c647335dd4bdf50ca56ee5ced4fe55bf0e8ed3d7f874303ae688", { input: { model: "dev", prompt: "An elegant Art Nouveau-style poster with sinuous, organic lines frames a scene from Circassian folklore. A radiant golden tree of life, its branches swirling with symbolic Circassian motifs. Beautiful colors.", lora_scale: 1, num_outputs: 4, aspect_ratio: "1:1", output_format: "webp", guidance_scale: 3.5, output_quality: 80, num_inference_steps: 50 } } ); // To access the file URL: console.log(output[0].url()); //=> "http://example.com" // To write the file to disk: fs.writeFile("my-image.png", output[0]);To learn more, take a look at the guide on getting started with Node.js.
Install Replicate’s Python client library:pip install replicateImport the client:import replicateRun qunash/circassian-culture-flux-3000-steps using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.
output = replicate.run( "qunash/circassian-culture-flux-3000-steps:bf772d87d563c647335dd4bdf50ca56ee5ced4fe55bf0e8ed3d7f874303ae688", input={ "model": "dev", "prompt": "An elegant Art Nouveau-style poster with sinuous, organic lines frames a scene from Circassian folklore. A radiant golden tree of life, its branches swirling with symbolic Circassian motifs. Beautiful colors.", "lora_scale": 1, "num_outputs": 4, "aspect_ratio": "1:1", "output_format": "webp", "guidance_scale": 3.5, "output_quality": 80, "num_inference_steps": 50 } ) print(output)To learn more, take a look at the guide on getting started with Python.
Run qunash/circassian-culture-flux-3000-steps using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.
curl -s -X POST \ -H "Authorization: Bearer $REPLICATE_API_TOKEN" \ -H "Content-Type: application/json" \ -H "Prefer: wait" \ -d $'{ "version": "qunash/circassian-culture-flux-3000-steps:bf772d87d563c647335dd4bdf50ca56ee5ced4fe55bf0e8ed3d7f874303ae688", "input": { "model": "dev", "prompt": "An elegant Art Nouveau-style poster with sinuous, organic lines frames a scene from Circassian folklore. A radiant golden tree of life, its branches swirling with symbolic Circassian motifs. Beautiful colors.", "lora_scale": 1, "num_outputs": 4, "aspect_ratio": "1:1", "output_format": "webp", "guidance_scale": 3.5, "output_quality": 80, "num_inference_steps": 50 } }' \ https://api.replicate.com/v1/predictionsTo learn more, take a look at Replicate’s HTTP API reference docs.
Output
{ "completed_at": "2024-08-19T16:49:38.206373Z", "created_at": "2024-08-19T16:48:13.263000Z", "data_removed": false, "error": null, "id": "77eg8v85sxrm00chde5a8a6py0", "input": { "model": "dev", "prompt": "An elegant Art Nouveau-style poster with sinuous, organic lines frames a scene from Circassian folklore. A radiant golden tree of life, its branches swirling with symbolic Circassian motifs. Beautiful colors.", "lora_scale": 1, "num_outputs": 4, "aspect_ratio": "1:1", "output_format": "webp", "guidance_scale": 3.5, "output_quality": 80, "num_inference_steps": 50 }, "logs": "Using seed: 57901\nPrompt: An elegant Art Nouveau-style poster with sinuous, organic lines frames a scene from Circassian folklore. A radiant golden tree of life, its branches swirling with symbolic Circassian motifs. Beautiful colors.\ntxt2img mode\nUsing dev model\nLoading LoRA weights\nEnsuring enough disk space...\nFree disk space: 9618989932544\nDownloading weights\n2024-08-19T16:48:34Z | INFO | [ Initiating ] chunk_size=150M dest=/src/weights-cache/41925a20b164b9c8 url=https://replicate.delivery/yhqm/wtXcKcWjsU6cOp1w1M0S5Pa3xxgzfXymMQmF8n3T7NmCz1pJA/trained_model.tar\n2024-08-19T16:48:36Z | INFO | [ Complete ] dest=/src/weights-cache/41925a20b164b9c8 size=\"172 MB\" total_elapsed=1.613s url=https://replicate.delivery/yhqm/wtXcKcWjsU6cOp1w1M0S5Pa3xxgzfXymMQmF8n3T7NmCz1pJA/trained_model.tar\nb''\nDownloaded weights in 1.6409294605255127 seconds\nLoRA weights loaded successfully\n 0%| | 0/50 [00:00<?, ?it/s]\n 2%|▏ | 1/50 [00:01<00:49, 1.01s/it]\n 4%|▍ | 2/50 [00:01<00:42, 1.13it/s]\n 6%|▌ | 3/50 [00:02<00:44, 1.06it/s]\n 8%|▊ | 4/50 [00:03<00:44, 1.03it/s]\n 10%|█ | 5/50 [00:04<00:44, 1.02it/s]\n 12%|█▏ | 6/50 [00:05<00:43, 1.00it/s]\n 14%|█▍ | 7/50 [00:06<00:43, 1.00s/it]\n 16%|█▌ | 8/50 [00:07<00:42, 1.01s/it]\n 18%|█▊ | 9/50 [00:08<00:41, 1.01s/it]\n 20%|██ | 10/50 [00:09<00:40, 1.01s/it]\n 22%|██▏ | 11/50 [00:10<00:39, 1.01s/it]\n 24%|██▍ | 12/50 [00:11<00:38, 1.01s/it]\n 26%|██▌ | 13/50 [00:12<00:37, 1.01s/it]\n 28%|██▊ | 14/50 [00:13<00:36, 1.01s/it]\n 30%|███ | 15/50 [00:14<00:35, 1.02s/it]\n 32%|███▏ | 16/50 [00:16<00:34, 1.02s/it]\n 34%|███▍ | 17/50 [00:17<00:33, 1.02s/it]\n 36%|███▌ | 18/50 [00:18<00:32, 1.02s/it]\n 38%|███▊ | 19/50 [00:19<00:31, 1.02s/it]\n 40%|████ | 20/50 [00:20<00:30, 1.02s/it]\n 42%|████▏ | 21/50 [00:21<00:29, 1.02s/it]\n 44%|████▍ | 22/50 [00:22<00:28, 1.02s/it]\n 46%|████▌ | 23/50 [00:23<00:27, 1.02s/it]\n 48%|████▊ | 24/50 [00:24<00:26, 1.02s/it]\n 50%|█████ | 25/50 [00:25<00:25, 1.02s/it]\n 52%|█████▏ | 26/50 [00:26<00:24, 1.02s/it]\n 54%|█████▍ | 27/50 [00:27<00:23, 1.02s/it]\n 56%|█████▌ | 28/50 [00:28<00:22, 1.02s/it]\n 58%|█████▊ | 29/50 [00:29<00:21, 1.02s/it]\n 60%|██████ | 30/50 [00:30<00:20, 1.02s/it]\n 62%|██████▏ | 31/50 [00:31<00:19, 1.02s/it]\n 64%|██████▍ | 32/50 [00:32<00:18, 1.02s/it]\n 66%|██████▌ | 33/50 [00:33<00:17, 1.02s/it]\n 68%|██████▊ | 34/50 [00:34<00:16, 1.02s/it]\n 70%|███████ | 35/50 [00:35<00:15, 1.02s/it]\n 72%|███████▏ | 36/50 [00:36<00:14, 1.02s/it]\n 74%|███████▍ | 37/50 [00:37<00:13, 1.02s/it]\n 76%|███████▌ | 38/50 [00:38<00:12, 1.02s/it]\n 78%|███████▊ | 39/50 [00:39<00:11, 1.02s/it]\n 80%|████████ | 40/50 [00:40<00:10, 1.02s/it]\n 82%|████████▏ | 41/50 [00:41<00:09, 1.02s/it]\n 84%|████████▍ | 42/50 [00:42<00:08, 1.02s/it]\n 86%|████████▌ | 43/50 [00:43<00:07, 1.02s/it]\n 88%|████████▊ | 44/50 [00:44<00:06, 1.02s/it]\n 90%|█████████ | 45/50 [00:45<00:05, 1.02s/it]\n 92%|█████████▏| 46/50 [00:46<00:04, 1.02s/it]\n 94%|█████████▍| 47/50 [00:47<00:03, 1.02s/it]\n 96%|█████████▌| 48/50 [00:48<00:02, 1.02s/it]\n 98%|█████████▊| 49/50 [00:49<00:01, 1.02s/it]\n100%|██████████| 50/50 [00:50<00:00, 1.02s/it]\n100%|██████████| 50/50 [00:50<00:00, 1.01s/it]", "metrics": { "predict_time": 63.754832463, "total_time": 84.943373 }, "output": [ "https://replicate.delivery/yhqm/Cxq9kBe4SxQDPanxCtGGWpVew6occs4C3eygtRubbgyCNlomA/out-0.webp", "https://replicate.delivery/yhqm/HFhfHgRegZpckUJyv87RFsYXPIiHHqZJ8ffFwbIvLcnFaKRNB/out-1.webp", "https://replicate.delivery/yhqm/PHquIe2wEx3fwUei8BCEehiowPLFht8jtDATeooMrSZO0UiaC/out-2.webp", "https://replicate.delivery/yhqm/3l2tiJLCmgYePi5FDwVEM8HTeoX13tNiB26dGwnZaNMimSUTA/out-3.webp" ], "started_at": "2024-08-19T16:48:34.451540Z", "status": "succeeded", "urls": { "get": "https://api.replicate.com/v1/predictions/77eg8v85sxrm00chde5a8a6py0", "cancel": "https://api.replicate.com/v1/predictions/77eg8v85sxrm00chde5a8a6py0/cancel" }, "version": "bf772d87d563c647335dd4bdf50ca56ee5ced4fe55bf0e8ed3d7f874303ae688" }Generated inUsing seed: 57901 Prompt: An elegant Art Nouveau-style poster with sinuous, organic lines frames a scene from Circassian folklore. A radiant golden tree of life, its branches swirling with symbolic Circassian motifs. Beautiful colors. txt2img mode Using dev model Loading LoRA weights Ensuring enough disk space... Free disk space: 9618989932544 Downloading weights 2024-08-19T16:48:34Z | INFO | [ Initiating ] chunk_size=150M dest=/src/weights-cache/41925a20b164b9c8 url=https://replicate.delivery/yhqm/wtXcKcWjsU6cOp1w1M0S5Pa3xxgzfXymMQmF8n3T7NmCz1pJA/trained_model.tar 2024-08-19T16:48:36Z | INFO | [ Complete ] dest=/src/weights-cache/41925a20b164b9c8 size="172 MB" total_elapsed=1.613s url=https://replicate.delivery/yhqm/wtXcKcWjsU6cOp1w1M0S5Pa3xxgzfXymMQmF8n3T7NmCz1pJA/trained_model.tar b'' Downloaded weights in 1.6409294605255127 seconds LoRA weights loaded successfully 0%| | 0/50 [00:00<?, ?it/s] 2%|▏ | 1/50 [00:01<00:49, 1.01s/it] 4%|▍ | 2/50 [00:01<00:42, 1.13it/s] 6%|▌ | 3/50 [00:02<00:44, 1.06it/s] 8%|▊ | 4/50 [00:03<00:44, 1.03it/s] 10%|█ | 5/50 [00:04<00:44, 1.02it/s] 12%|█▏ | 6/50 [00:05<00:43, 1.00it/s] 14%|█▍ | 7/50 [00:06<00:43, 1.00s/it] 16%|█▌ | 8/50 [00:07<00:42, 1.01s/it] 18%|█▊ | 9/50 [00:08<00:41, 1.01s/it] 20%|██ | 10/50 [00:09<00:40, 1.01s/it] 22%|██▏ | 11/50 [00:10<00:39, 1.01s/it] 24%|██▍ | 12/50 [00:11<00:38, 1.01s/it] 26%|██▌ | 13/50 [00:12<00:37, 1.01s/it] 28%|██▊ | 14/50 [00:13<00:36, 1.01s/it] 30%|███ | 15/50 [00:14<00:35, 1.02s/it] 32%|███▏ | 16/50 [00:16<00:34, 1.02s/it] 34%|███▍ | 17/50 [00:17<00:33, 1.02s/it] 36%|███▌ | 18/50 [00:18<00:32, 1.02s/it] 38%|███▊ | 19/50 [00:19<00:31, 1.02s/it] 40%|████ | 20/50 [00:20<00:30, 1.02s/it] 42%|████▏ | 21/50 [00:21<00:29, 1.02s/it] 44%|████▍ | 22/50 [00:22<00:28, 1.02s/it] 46%|████▌ | 23/50 [00:23<00:27, 1.02s/it] 48%|████▊ | 24/50 [00:24<00:26, 1.02s/it] 50%|█████ | 25/50 [00:25<00:25, 1.02s/it] 52%|█████▏ | 26/50 [00:26<00:24, 1.02s/it] 54%|█████▍ | 27/50 [00:27<00:23, 1.02s/it] 56%|█████▌ | 28/50 [00:28<00:22, 1.02s/it] 58%|█████▊ | 29/50 [00:29<00:21, 1.02s/it] 60%|██████ | 30/50 [00:30<00:20, 1.02s/it] 62%|██████▏ | 31/50 [00:31<00:19, 1.02s/it] 64%|██████▍ | 32/50 [00:32<00:18, 1.02s/it] 66%|██████▌ | 33/50 [00:33<00:17, 1.02s/it] 68%|██████▊ | 34/50 [00:34<00:16, 1.02s/it] 70%|███████ | 35/50 [00:35<00:15, 1.02s/it] 72%|███████▏ | 36/50 [00:36<00:14, 1.02s/it] 74%|███████▍ | 37/50 [00:37<00:13, 1.02s/it] 76%|███████▌ | 38/50 [00:38<00:12, 1.02s/it] 78%|███████▊ | 39/50 [00:39<00:11, 1.02s/it] 80%|████████ | 40/50 [00:40<00:10, 1.02s/it] 82%|████████▏ | 41/50 [00:41<00:09, 1.02s/it] 84%|████████▍ | 42/50 [00:42<00:08, 1.02s/it] 86%|████████▌ | 43/50 [00:43<00:07, 1.02s/it] 88%|████████▊ | 44/50 [00:44<00:06, 1.02s/it] 90%|█████████ | 45/50 [00:45<00:05, 1.02s/it] 92%|█████████▏| 46/50 [00:46<00:04, 1.02s/it] 94%|█████████▍| 47/50 [00:47<00:03, 1.02s/it] 96%|█████████▌| 48/50 [00:48<00:02, 1.02s/it] 98%|█████████▊| 49/50 [00:49<00:01, 1.02s/it] 100%|██████████| 50/50 [00:50<00:00, 1.02s/it] 100%|██████████| 50/50 [00:50<00:00, 1.01s/it]Prediction
qunash/circassian-culture-flux-3000-steps:bf772d87d563c647335dd4bdf50ca56ee5ced4fe55bf0e8ed3d7f874303ae688ID133sx6qkksrm20cjz44bgyzsrwStatusSucceededSourceWebHardwareH100Total durationCreatedInput
- model
- dev
- prompt
- An open book on a glass table displays dense text on the left page and a black and white portrait of a young woman wearing an elegant dress on the right page.
- lora_scale
- 1
- num_outputs
- 4
- aspect_ratio
- 9:16
- output_format
- webp
- guidance_scale
- 3.5
- output_quality
- 80
- prompt_strength
- 0.8
- extra_lora_scale
- 1
- num_inference_steps
- 28
{ "model": "dev", "prompt": "An open book on a glass table displays dense text on the left page and a black and white portrait of a young woman wearing an elegant dress on the right page.", "lora_scale": 1, "num_outputs": 4, "aspect_ratio": "9:16", "output_format": "webp", "guidance_scale": 3.5, "output_quality": 80, "prompt_strength": 0.8, "extra_lora_scale": 1, "num_inference_steps": 28 }Install Replicate’s Node.js client library:npm install replicateImport and set up the client:import Replicate from "replicate"; const replicate = new Replicate({ auth: process.env.REPLICATE_API_TOKEN, });Run qunash/circassian-culture-flux-3000-steps using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.
const output = await replicate.run( "qunash/circassian-culture-flux-3000-steps:bf772d87d563c647335dd4bdf50ca56ee5ced4fe55bf0e8ed3d7f874303ae688", { input: { model: "dev", prompt: "An open book on a glass table displays dense text on the left page and a black and white portrait of a young woman wearing an elegant dress on the right page.", lora_scale: 1, num_outputs: 4, aspect_ratio: "9:16", output_format: "webp", guidance_scale: 3.5, output_quality: 80, prompt_strength: 0.8, extra_lora_scale: 1, num_inference_steps: 28 } } ); // To access the file URL: console.log(output[0].url()); //=> "http://example.com" // To write the file to disk: fs.writeFile("my-image.png", output[0]);To learn more, take a look at the guide on getting started with Node.js.
Install Replicate’s Python client library:pip install replicateImport the client:import replicateRun qunash/circassian-culture-flux-3000-steps using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.
output = replicate.run( "qunash/circassian-culture-flux-3000-steps:bf772d87d563c647335dd4bdf50ca56ee5ced4fe55bf0e8ed3d7f874303ae688", input={ "model": "dev", "prompt": "An open book on a glass table displays dense text on the left page and a black and white portrait of a young woman wearing an elegant dress on the right page.", "lora_scale": 1, "num_outputs": 4, "aspect_ratio": "9:16", "output_format": "webp", "guidance_scale": 3.5, "output_quality": 80, "prompt_strength": 0.8, "extra_lora_scale": 1, "num_inference_steps": 28 } ) print(output)To learn more, take a look at the guide on getting started with Python.
Run qunash/circassian-culture-flux-3000-steps using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.
curl -s -X POST \ -H "Authorization: Bearer $REPLICATE_API_TOKEN" \ -H "Content-Type: application/json" \ -H "Prefer: wait" \ -d $'{ "version": "qunash/circassian-culture-flux-3000-steps:bf772d87d563c647335dd4bdf50ca56ee5ced4fe55bf0e8ed3d7f874303ae688", "input": { "model": "dev", "prompt": "An open book on a glass table displays dense text on the left page and a black and white portrait of a young woman wearing an elegant dress on the right page.", "lora_scale": 1, "num_outputs": 4, "aspect_ratio": "9:16", "output_format": "webp", "guidance_scale": 3.5, "output_quality": 80, "prompt_strength": 0.8, "extra_lora_scale": 1, "num_inference_steps": 28 } }' \ https://api.replicate.com/v1/predictionsTo learn more, take a look at Replicate’s HTTP API reference docs.
Output
{ "completed_at": "2024-11-04T21:16:45.372371Z", "created_at": "2024-11-04T21:16:06.430000Z", "data_removed": false, "error": null, "id": "133sx6qkksrm20cjz44bgyzsrw", "input": { "model": "dev", "prompt": "An open book on a glass table displays dense text on the left page and a black and white portrait of a young woman wearing an elegant dress on the right page.", "lora_scale": 1, "num_outputs": 4, "aspect_ratio": "9:16", "output_format": "webp", "guidance_scale": 3.5, "output_quality": 80, "prompt_strength": 0.8, "extra_lora_scale": 1, "num_inference_steps": 28 }, "logs": "Using seed: 56850\nPrompt: An open book on a glass table displays dense text on the left page and a black and white portrait of a young woman wearing an elegant dress on the right page.\n[!] txt2img mode\nUsing dev model\nfree=8802131832832\nDownloading weights\n2024-11-04T21:16:06Z | INFO | [ Initiating ] chunk_size=150M dest=/tmp/tmpgg7jmoth/weights url=https://replicate.delivery/yhqm/wtXcKcWjsU6cOp1w1M0S5Pa3xxgzfXymMQmF8n3T7NmCz1pJA/trained_model.tar\n2024-11-04T21:16:08Z | INFO | [ Complete ] dest=/tmp/tmpgg7jmoth/weights size=\"172 MB\" total_elapsed=1.736s url=https://replicate.delivery/yhqm/wtXcKcWjsU6cOp1w1M0S5Pa3xxgzfXymMQmF8n3T7NmCz1pJA/trained_model.tar\nDownloaded weights in 1.76s\nLoaded LoRAs in 2.36s\n 0%| | 0/28 [00:00<?, ?it/s]\n 4%|▎ | 1/28 [00:01<00:34, 1.26s/it]\n 7%|▋ | 2/28 [00:02<00:29, 1.14s/it]\n 11%|█ | 3/28 [00:03<00:29, 1.20s/it]\n 14%|█▍ | 4/28 [00:04<00:29, 1.22s/it]\n 18%|█▊ | 5/28 [00:06<00:28, 1.24s/it]\n 21%|██▏ | 6/28 [00:07<00:27, 1.25s/it]\n 25%|██▌ | 7/28 [00:08<00:26, 1.26s/it]\n 29%|██▊ | 8/28 [00:09<00:25, 1.26s/it]\n 32%|███▏ | 9/28 [00:11<00:23, 1.26s/it]\n 36%|███▌ | 10/28 [00:12<00:22, 1.26s/it]\n 39%|███▉ | 11/28 [00:13<00:21, 1.27s/it]\n 43%|████▎ | 12/28 [00:14<00:20, 1.27s/it]\n 46%|████▋ | 13/28 [00:16<00:19, 1.27s/it]\n 50%|█████ | 14/28 [00:17<00:17, 1.27s/it]\n 54%|█████▎ | 15/28 [00:18<00:16, 1.27s/it]\n 57%|█████▋ | 16/28 [00:20<00:15, 1.27s/it]\n 61%|██████ | 17/28 [00:21<00:13, 1.27s/it]\n 64%|██████▍ | 18/28 [00:22<00:12, 1.27s/it]\n 68%|██████▊ | 19/28 [00:23<00:11, 1.27s/it]\n 71%|███████▏ | 20/28 [00:25<00:10, 1.27s/it]\n 75%|███████▌ | 21/28 [00:26<00:08, 1.27s/it]\n 79%|███████▊ | 22/28 [00:27<00:07, 1.27s/it]\n 82%|████████▏ | 23/28 [00:28<00:06, 1.27s/it]\n 86%|████████▌ | 24/28 [00:30<00:05, 1.27s/it]\n 89%|████████▉ | 25/28 [00:31<00:03, 1.27s/it]\n 93%|█████████▎| 26/28 [00:32<00:02, 1.27s/it]\n 96%|█████████▋| 27/28 [00:34<00:01, 1.27s/it]\n100%|██████████| 28/28 [00:35<00:00, 1.27s/it]\n100%|██████████| 28/28 [00:35<00:00, 1.26s/it]", "metrics": { "predict_time": 38.859180481, "total_time": 38.942371 }, "output": [ "https://replicate.delivery/yhqm/hG1GuOxYy4LQBFShvbHzZV31AxojIZglfoDQHYB4nVkeuutTA/out-0.webp", "https://replicate.delivery/yhqm/W6t30At9KIouPpMnHQvatFL93cUUCfKlp2Oe5kZVfCe2762OB/out-1.webp", "https://replicate.delivery/yhqm/EfxwqfnfHjdxLJYWmbMkPlQiPXqTsifrpNsjftMSVlRq31tdC/out-2.webp", "https://replicate.delivery/yhqm/Xj5brz4x2Y4CKFez8ieZLnbAPr3gEpllJfqfedxDxPJu31tdC/out-3.webp" ], "started_at": "2024-11-04T21:16:06.513190Z", "status": "succeeded", "urls": { "stream": "https://stream.replicate.com/v1/files/wcdb-6negbypkwx7kxf5okwu2bog7pee3avr43tuewooz2uym6eavbcbq", "get": "https://api.replicate.com/v1/predictions/133sx6qkksrm20cjz44bgyzsrw", "cancel": "https://api.replicate.com/v1/predictions/133sx6qkksrm20cjz44bgyzsrw/cancel" }, "version": "bf772d87d563c647335dd4bdf50ca56ee5ced4fe55bf0e8ed3d7f874303ae688" }Generated inUsing seed: 56850 Prompt: An open book on a glass table displays dense text on the left page and a black and white portrait of a young woman wearing an elegant dress on the right page. [!] txt2img mode Using dev model free=8802131832832 Downloading weights 2024-11-04T21:16:06Z | INFO | [ Initiating ] chunk_size=150M dest=/tmp/tmpgg7jmoth/weights url=https://replicate.delivery/yhqm/wtXcKcWjsU6cOp1w1M0S5Pa3xxgzfXymMQmF8n3T7NmCz1pJA/trained_model.tar 2024-11-04T21:16:08Z | INFO | [ Complete ] dest=/tmp/tmpgg7jmoth/weights size="172 MB" total_elapsed=1.736s url=https://replicate.delivery/yhqm/wtXcKcWjsU6cOp1w1M0S5Pa3xxgzfXymMQmF8n3T7NmCz1pJA/trained_model.tar Downloaded weights in 1.76s Loaded LoRAs in 2.36s 0%| | 0/28 [00:00<?, ?it/s] 4%|▎ | 1/28 [00:01<00:34, 1.26s/it] 7%|▋ | 2/28 [00:02<00:29, 1.14s/it] 11%|█ | 3/28 [00:03<00:29, 1.20s/it] 14%|█▍ | 4/28 [00:04<00:29, 1.22s/it] 18%|█▊ | 5/28 [00:06<00:28, 1.24s/it] 21%|██▏ | 6/28 [00:07<00:27, 1.25s/it] 25%|██▌ | 7/28 [00:08<00:26, 1.26s/it] 29%|██▊ | 8/28 [00:09<00:25, 1.26s/it] 32%|███▏ | 9/28 [00:11<00:23, 1.26s/it] 36%|███▌ | 10/28 [00:12<00:22, 1.26s/it] 39%|███▉ | 11/28 [00:13<00:21, 1.27s/it] 43%|████▎ | 12/28 [00:14<00:20, 1.27s/it] 46%|████▋ | 13/28 [00:16<00:19, 1.27s/it] 50%|█████ | 14/28 [00:17<00:17, 1.27s/it] 54%|█████▎ | 15/28 [00:18<00:16, 1.27s/it] 57%|█████▋ | 16/28 [00:20<00:15, 1.27s/it] 61%|██████ | 17/28 [00:21<00:13, 1.27s/it] 64%|██████▍ | 18/28 [00:22<00:12, 1.27s/it] 68%|██████▊ | 19/28 [00:23<00:11, 1.27s/it] 71%|███████▏ | 20/28 [00:25<00:10, 1.27s/it] 75%|███████▌ | 21/28 [00:26<00:08, 1.27s/it] 79%|███████▊ | 22/28 [00:27<00:07, 1.27s/it] 82%|████████▏ | 23/28 [00:28<00:06, 1.27s/it] 86%|████████▌ | 24/28 [00:30<00:05, 1.27s/it] 89%|████████▉ | 25/28 [00:31<00:03, 1.27s/it] 93%|█████████▎| 26/28 [00:32<00:02, 1.27s/it] 96%|█████████▋| 27/28 [00:34<00:01, 1.27s/it] 100%|██████████| 28/28 [00:35<00:00, 1.27s/it] 100%|██████████| 28/28 [00:35<00:00, 1.26s/it]Prediction
qunash/circassian-culture-flux-3000-steps:bf772d87d563c647335dd4bdf50ca56ee5ced4fe55bf0e8ed3d7f874303ae688IDnnd1pzrafsrm20cjz47s5hxa5mStatusSucceededSourceWebHardwareH100Total durationCreatedInput
- model
- dev
- prompt
- An open book on a glass table displays dense text on the left page and a black and white portrait of a young woman wearing an breathtaking elegant royal dress on the right page.
- lora_scale
- 1
- num_outputs
- 4
- aspect_ratio
- 9:16
- output_format
- webp
- guidance_scale
- 3.5
- output_quality
- 80
- prompt_strength
- 0.8
- extra_lora_scale
- 1
- num_inference_steps
- 28
{ "model": "dev", "prompt": "An open book on a glass table displays dense text on the left page and a black and white portrait of a young woman wearing an breathtaking elegant royal dress on the right page.", "lora_scale": 1, "num_outputs": 4, "aspect_ratio": "9:16", "output_format": "webp", "guidance_scale": 3.5, "output_quality": 80, "prompt_strength": 0.8, "extra_lora_scale": 1, "num_inference_steps": 28 }Install Replicate’s Node.js client library:npm install replicateImport and set up the client:import Replicate from "replicate"; const replicate = new Replicate({ auth: process.env.REPLICATE_API_TOKEN, });Run qunash/circassian-culture-flux-3000-steps using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.
const output = await replicate.run( "qunash/circassian-culture-flux-3000-steps:bf772d87d563c647335dd4bdf50ca56ee5ced4fe55bf0e8ed3d7f874303ae688", { input: { model: "dev", prompt: "An open book on a glass table displays dense text on the left page and a black and white portrait of a young woman wearing an breathtaking elegant royal dress on the right page.", lora_scale: 1, num_outputs: 4, aspect_ratio: "9:16", output_format: "webp", guidance_scale: 3.5, output_quality: 80, prompt_strength: 0.8, extra_lora_scale: 1, num_inference_steps: 28 } } ); // To access the file URL: console.log(output[0].url()); //=> "http://example.com" // To write the file to disk: fs.writeFile("my-image.png", output[0]);To learn more, take a look at the guide on getting started with Node.js.
Install Replicate’s Python client library:pip install replicateImport the client:import replicateRun qunash/circassian-culture-flux-3000-steps using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.
output = replicate.run( "qunash/circassian-culture-flux-3000-steps:bf772d87d563c647335dd4bdf50ca56ee5ced4fe55bf0e8ed3d7f874303ae688", input={ "model": "dev", "prompt": "An open book on a glass table displays dense text on the left page and a black and white portrait of a young woman wearing an breathtaking elegant royal dress on the right page.", "lora_scale": 1, "num_outputs": 4, "aspect_ratio": "9:16", "output_format": "webp", "guidance_scale": 3.5, "output_quality": 80, "prompt_strength": 0.8, "extra_lora_scale": 1, "num_inference_steps": 28 } ) print(output)To learn more, take a look at the guide on getting started with Python.
Run qunash/circassian-culture-flux-3000-steps using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.
curl -s -X POST \ -H "Authorization: Bearer $REPLICATE_API_TOKEN" \ -H "Content-Type: application/json" \ -H "Prefer: wait" \ -d $'{ "version": "qunash/circassian-culture-flux-3000-steps:bf772d87d563c647335dd4bdf50ca56ee5ced4fe55bf0e8ed3d7f874303ae688", "input": { "model": "dev", "prompt": "An open book on a glass table displays dense text on the left page and a black and white portrait of a young woman wearing an breathtaking elegant royal dress on the right page.", "lora_scale": 1, "num_outputs": 4, "aspect_ratio": "9:16", "output_format": "webp", "guidance_scale": 3.5, "output_quality": 80, "prompt_strength": 0.8, "extra_lora_scale": 1, "num_inference_steps": 28 } }' \ https://api.replicate.com/v1/predictionsTo learn more, take a look at Replicate’s HTTP API reference docs.
Output
{ "completed_at": "2024-11-04T21:23:25.048652Z", "created_at": "2024-11-04T21:22:45.502000Z", "data_removed": false, "error": null, "id": "nnd1pzrafsrm20cjz47s5hxa5m", "input": { "model": "dev", "prompt": "An open book on a glass table displays dense text on the left page and a black and white portrait of a young woman wearing an breathtaking elegant royal dress on the right page.", "lora_scale": 1, "num_outputs": 4, "aspect_ratio": "9:16", "output_format": "webp", "guidance_scale": 3.5, "output_quality": 80, "prompt_strength": 0.8, "extra_lora_scale": 1, "num_inference_steps": 28 }, "logs": "Using seed: 54455\nPrompt: An open book on a glass table displays dense text on the left page and a black and white portrait of a young woman wearing an breathtaking elegant royal dress on the right page.\n[!] txt2img mode\nUsing dev model\nfree=8453158576128\nDownloading weights\n2024-11-04T21:22:46Z | INFO | [ Initiating ] chunk_size=150M dest=/tmp/tmp2ga6d3ph/weights url=https://replicate.delivery/yhqm/wtXcKcWjsU6cOp1w1M0S5Pa3xxgzfXymMQmF8n3T7NmCz1pJA/trained_model.tar\n2024-11-04T21:22:47Z | INFO | [ Complete ] dest=/tmp/tmp2ga6d3ph/weights size=\"172 MB\" total_elapsed=1.905s url=https://replicate.delivery/yhqm/wtXcKcWjsU6cOp1w1M0S5Pa3xxgzfXymMQmF8n3T7NmCz1pJA/trained_model.tar\nDownloaded weights in 1.93s\nLoaded LoRAs in 2.63s\n 0%| | 0/28 [00:00<?, ?it/s]\n 4%|▎ | 1/28 [00:01<00:34, 1.27s/it]\n 7%|▋ | 2/28 [00:02<00:29, 1.14s/it]\n 11%|█ | 3/28 [00:03<00:29, 1.20s/it]\n 14%|█▍ | 4/28 [00:04<00:29, 1.23s/it]\n 18%|█▊ | 5/28 [00:06<00:28, 1.24s/it]\n 21%|██▏ | 6/28 [00:07<00:27, 1.25s/it]\n 25%|██▌ | 7/28 [00:08<00:26, 1.26s/it]\n 29%|██▊ | 8/28 [00:09<00:25, 1.26s/it]\n 32%|███▏ | 9/28 [00:11<00:23, 1.26s/it]\n 36%|███▌ | 10/28 [00:12<00:22, 1.26s/it]\n 39%|███▉ | 11/28 [00:13<00:21, 1.26s/it]\n 43%|████▎ | 12/28 [00:14<00:20, 1.26s/it]\n 46%|████▋ | 13/28 [00:16<00:18, 1.27s/it]\n 50%|█████ | 14/28 [00:17<00:17, 1.27s/it]\n 54%|█████▎ | 15/28 [00:18<00:16, 1.27s/it]\n 57%|█████▋ | 16/28 [00:20<00:15, 1.27s/it]\n 61%|██████ | 17/28 [00:21<00:13, 1.27s/it]\n 64%|██████▍ | 18/28 [00:22<00:12, 1.27s/it]\n 68%|██████▊ | 19/28 [00:23<00:11, 1.27s/it]\n 71%|███████▏ | 20/28 [00:25<00:10, 1.27s/it]\n 75%|███████▌ | 21/28 [00:26<00:08, 1.27s/it]\n 79%|███████▊ | 22/28 [00:27<00:07, 1.27s/it]\n 82%|████████▏ | 23/28 [00:28<00:06, 1.27s/it]\n 86%|████████▌ | 24/28 [00:30<00:05, 1.27s/it]\n 89%|████████▉ | 25/28 [00:31<00:03, 1.27s/it]\n 93%|█████████▎| 26/28 [00:32<00:02, 1.27s/it]\n 96%|█████████▋| 27/28 [00:33<00:01, 1.27s/it]\n100%|██████████| 28/28 [00:35<00:00, 1.27s/it]\n100%|██████████| 28/28 [00:35<00:00, 1.26s/it]", "metrics": { "predict_time": 39.061287441, "total_time": 39.546652 }, "output": [ "https://replicate.delivery/yhqm/qB6vfZR6o4SWZyvcVQZCW1fk2oPf2HSSx6hGQAGBmQSbqdbnA/out-0.webp", "https://replicate.delivery/yhqm/nEeEneQoihnfdITr6uM1IZSKgy8bZATKpSfbJGKUSvF0U72OB/out-1.webp", "https://replicate.delivery/yhqm/7f0UM2c4y3y8UCDIXTHhbe1NtARe0Vdqy1Tv7HkFDtPaqdbnA/out-2.webp", "https://replicate.delivery/yhqm/6OeH3OoZkLTvXapk0SfUlMiexMDbb0N83WRpqp2G7UraqdbnA/out-3.webp" ], "started_at": "2024-11-04T21:22:45.987365Z", "status": "succeeded", "urls": { "stream": "https://stream.replicate.com/v1/files/wcdb-uizzrejsjf5gesv6py2s56hhhws4rqkgdmdplbkjib7i2bj2bfya", "get": "https://api.replicate.com/v1/predictions/nnd1pzrafsrm20cjz47s5hxa5m", "cancel": "https://api.replicate.com/v1/predictions/nnd1pzrafsrm20cjz47s5hxa5m/cancel" }, "version": "bf772d87d563c647335dd4bdf50ca56ee5ced4fe55bf0e8ed3d7f874303ae688" }Generated inUsing seed: 54455 Prompt: An open book on a glass table displays dense text on the left page and a black and white portrait of a young woman wearing an breathtaking elegant royal dress on the right page. [!] txt2img mode Using dev model free=8453158576128 Downloading weights 2024-11-04T21:22:46Z | INFO | [ Initiating ] chunk_size=150M dest=/tmp/tmp2ga6d3ph/weights url=https://replicate.delivery/yhqm/wtXcKcWjsU6cOp1w1M0S5Pa3xxgzfXymMQmF8n3T7NmCz1pJA/trained_model.tar 2024-11-04T21:22:47Z | INFO | [ Complete ] dest=/tmp/tmp2ga6d3ph/weights size="172 MB" total_elapsed=1.905s url=https://replicate.delivery/yhqm/wtXcKcWjsU6cOp1w1M0S5Pa3xxgzfXymMQmF8n3T7NmCz1pJA/trained_model.tar Downloaded weights in 1.93s Loaded LoRAs in 2.63s 0%| | 0/28 [00:00<?, ?it/s] 4%|▎ | 1/28 [00:01<00:34, 1.27s/it] 7%|▋ | 2/28 [00:02<00:29, 1.14s/it] 11%|█ | 3/28 [00:03<00:29, 1.20s/it] 14%|█▍ | 4/28 [00:04<00:29, 1.23s/it] 18%|█▊ | 5/28 [00:06<00:28, 1.24s/it] 21%|██▏ | 6/28 [00:07<00:27, 1.25s/it] 25%|██▌ | 7/28 [00:08<00:26, 1.26s/it] 29%|██▊ | 8/28 [00:09<00:25, 1.26s/it] 32%|███▏ | 9/28 [00:11<00:23, 1.26s/it] 36%|███▌ | 10/28 [00:12<00:22, 1.26s/it] 39%|███▉ | 11/28 [00:13<00:21, 1.26s/it] 43%|████▎ | 12/28 [00:14<00:20, 1.26s/it] 46%|████▋ | 13/28 [00:16<00:18, 1.27s/it] 50%|█████ | 14/28 [00:17<00:17, 1.27s/it] 54%|█████▎ | 15/28 [00:18<00:16, 1.27s/it] 57%|█████▋ | 16/28 [00:20<00:15, 1.27s/it] 61%|██████ | 17/28 [00:21<00:13, 1.27s/it] 64%|██████▍ | 18/28 [00:22<00:12, 1.27s/it] 68%|██████▊ | 19/28 [00:23<00:11, 1.27s/it] 71%|███████▏ | 20/28 [00:25<00:10, 1.27s/it] 75%|███████▌ | 21/28 [00:26<00:08, 1.27s/it] 79%|███████▊ | 22/28 [00:27<00:07, 1.27s/it] 82%|████████▏ | 23/28 [00:28<00:06, 1.27s/it] 86%|████████▌ | 24/28 [00:30<00:05, 1.27s/it] 89%|████████▉ | 25/28 [00:31<00:03, 1.27s/it] 93%|█████████▎| 26/28 [00:32<00:02, 1.27s/it] 96%|█████████▋| 27/28 [00:33<00:01, 1.27s/it] 100%|██████████| 28/28 [00:35<00:00, 1.27s/it] 100%|██████████| 28/28 [00:35<00:00, 1.26s/it]Prediction
qunash/circassian-culture-flux-3000-steps:bf772d87d563c647335dd4bdf50ca56ee5ced4fe55bf0e8ed3d7f874303ae688IDtje6m23xv5rm60cjz59b66mf7mStatusSucceededSourceWebHardwareH100Total durationCreatedInput
- seed
- 38195
- model
- dev
- prompt
- An open book on a glass table displays dense text on the left page and a black and white portrait of a young woman wearing an breathtaking elegant royal dress on the right page.
- lora_scale
- 1
- num_outputs
- 4
- aspect_ratio
- 9:16
- output_format
- webp
- guidance_scale
- 3.5
- output_quality
- 80
- prompt_strength
- 0.8
- extra_lora_scale
- 1
- num_inference_steps
- 50
{ "seed": 38195, "model": "dev", "prompt": "An open book on a glass table displays dense text on the left page and a black and white portrait of a young woman wearing an breathtaking elegant royal dress on the right page.", "lora_scale": 1, "num_outputs": 4, "aspect_ratio": "9:16", "output_format": "webp", "guidance_scale": 3.5, "output_quality": 80, "prompt_strength": 0.8, "extra_lora_scale": 1, "num_inference_steps": 50 }Install Replicate’s Node.js client library:npm install replicateImport and set up the client:import Replicate from "replicate"; const replicate = new Replicate({ auth: process.env.REPLICATE_API_TOKEN, });Run qunash/circassian-culture-flux-3000-steps using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.
const output = await replicate.run( "qunash/circassian-culture-flux-3000-steps:bf772d87d563c647335dd4bdf50ca56ee5ced4fe55bf0e8ed3d7f874303ae688", { input: { seed: 38195, model: "dev", prompt: "An open book on a glass table displays dense text on the left page and a black and white portrait of a young woman wearing an breathtaking elegant royal dress on the right page.", lora_scale: 1, num_outputs: 4, aspect_ratio: "9:16", output_format: "webp", guidance_scale: 3.5, output_quality: 80, prompt_strength: 0.8, extra_lora_scale: 1, num_inference_steps: 50 } } ); // To access the file URL: console.log(output[0].url()); //=> "http://example.com" // To write the file to disk: fs.writeFile("my-image.png", output[0]);To learn more, take a look at the guide on getting started with Node.js.
Install Replicate’s Python client library:pip install replicateImport the client:import replicateRun qunash/circassian-culture-flux-3000-steps using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.
output = replicate.run( "qunash/circassian-culture-flux-3000-steps:bf772d87d563c647335dd4bdf50ca56ee5ced4fe55bf0e8ed3d7f874303ae688", input={ "seed": 38195, "model": "dev", "prompt": "An open book on a glass table displays dense text on the left page and a black and white portrait of a young woman wearing an breathtaking elegant royal dress on the right page.", "lora_scale": 1, "num_outputs": 4, "aspect_ratio": "9:16", "output_format": "webp", "guidance_scale": 3.5, "output_quality": 80, "prompt_strength": 0.8, "extra_lora_scale": 1, "num_inference_steps": 50 } ) print(output)To learn more, take a look at the guide on getting started with Python.
Run qunash/circassian-culture-flux-3000-steps using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.
curl -s -X POST \ -H "Authorization: Bearer $REPLICATE_API_TOKEN" \ -H "Content-Type: application/json" \ -H "Prefer: wait" \ -d $'{ "version": "qunash/circassian-culture-flux-3000-steps:bf772d87d563c647335dd4bdf50ca56ee5ced4fe55bf0e8ed3d7f874303ae688", "input": { "seed": 38195, "model": "dev", "prompt": "An open book on a glass table displays dense text on the left page and a black and white portrait of a young woman wearing an breathtaking elegant royal dress on the right page.", "lora_scale": 1, "num_outputs": 4, "aspect_ratio": "9:16", "output_format": "webp", "guidance_scale": 3.5, "output_quality": 80, "prompt_strength": 0.8, "extra_lora_scale": 1, "num_inference_steps": 50 } }' \ https://api.replicate.com/v1/predictionsTo learn more, take a look at Replicate’s HTTP API reference docs.
Output
{ "completed_at": "2024-11-04T22:37:32.901774Z", "created_at": "2024-11-04T22:36:25.945000Z", "data_removed": false, "error": null, "id": "tje6m23xv5rm60cjz59b66mf7m", "input": { "seed": 38195, "model": "dev", "prompt": "An open book on a glass table displays dense text on the left page and a black and white portrait of a young woman wearing an breathtaking elegant royal dress on the right page.", "lora_scale": 1, "num_outputs": 4, "aspect_ratio": "9:16", "output_format": "webp", "guidance_scale": 3.5, "output_quality": 80, "prompt_strength": 0.8, "extra_lora_scale": 1, "num_inference_steps": 50 }, "logs": "Using seed: 38195\nPrompt: An open book on a glass table displays dense text on the left page and a black and white portrait of a young woman wearing an breathtaking elegant royal dress on the right page.\n[!] txt2img mode\nUsing dev model\nfree=6519525326848\nDownloading weights\n2024-11-04T22:36:25Z | INFO | [ Initiating ] chunk_size=150M dest=/tmp/tmpa7pwlivz/weights url=https://replicate.delivery/yhqm/wtXcKcWjsU6cOp1w1M0S5Pa3xxgzfXymMQmF8n3T7NmCz1pJA/trained_model.tar\n2024-11-04T22:36:27Z | INFO | [ Complete ] dest=/tmp/tmpa7pwlivz/weights size=\"172 MB\" total_elapsed=1.471s url=https://replicate.delivery/yhqm/wtXcKcWjsU6cOp1w1M0S5Pa3xxgzfXymMQmF8n3T7NmCz1pJA/trained_model.tar\nDownloaded weights in 1.50s\nLoaded LoRAs in 2.21s\n 0%| | 0/50 [00:00<?, ?it/s]\n 2%|▏ | 1/50 [00:01<01:02, 1.27s/it]\n 4%|▍ | 2/50 [00:02<00:55, 1.15s/it]\n 6%|▌ | 3/50 [00:03<00:56, 1.21s/it]\n 8%|▊ | 4/50 [00:04<00:56, 1.23s/it]\n 10%|█ | 5/50 [00:06<00:56, 1.25s/it]\n 12%|█▏ | 6/50 [00:07<00:55, 1.26s/it]\n 14%|█▍ | 7/50 [00:08<00:54, 1.26s/it]\n 16%|█▌ | 8/50 [00:09<00:53, 1.27s/it]\n 18%|█▊ | 9/50 [00:11<00:51, 1.27s/it]\n 20%|██ | 10/50 [00:12<00:50, 1.27s/it]\n 22%|██▏ | 11/50 [00:13<00:49, 1.27s/it]\n 24%|██▍ | 12/50 [00:15<00:48, 1.27s/it]\n 26%|██▌ | 13/50 [00:16<00:47, 1.27s/it]\n 28%|██▊ | 14/50 [00:17<00:45, 1.27s/it]\n 30%|███ | 15/50 [00:18<00:44, 1.27s/it]\n 32%|███▏ | 16/50 [00:20<00:43, 1.27s/it]\n 34%|███▍ | 17/50 [00:21<00:42, 1.27s/it]\n 36%|███▌ | 18/50 [00:22<00:40, 1.27s/it]\n 38%|███▊ | 19/50 [00:23<00:39, 1.27s/it]\n 40%|████ | 20/50 [00:25<00:38, 1.27s/it]\n 42%|████▏ | 21/50 [00:26<00:36, 1.27s/it]\n 44%|████▍ | 22/50 [00:27<00:35, 1.27s/it]\n 46%|████▌ | 23/50 [00:29<00:34, 1.27s/it]\n 48%|████▊ | 24/50 [00:30<00:33, 1.27s/it]\n 50%|█████ | 25/50 [00:31<00:31, 1.27s/it]\n 52%|█████▏ | 26/50 [00:32<00:30, 1.27s/it]\n 54%|█████▍ | 27/50 [00:34<00:29, 1.27s/it]\n 56%|█████▌ | 28/50 [00:35<00:28, 1.27s/it]\n 58%|█████▊ | 29/50 [00:36<00:26, 1.27s/it]\n 60%|██████ | 30/50 [00:38<00:25, 1.27s/it]\n 62%|██████▏ | 31/50 [00:39<00:24, 1.27s/it]\n 64%|██████▍ | 32/50 [00:40<00:22, 1.27s/it]\n 66%|██████▌ | 33/50 [00:41<00:21, 1.27s/it]\n 68%|██████▊ | 34/50 [00:43<00:20, 1.27s/it]\n 70%|███████ | 35/50 [00:44<00:19, 1.27s/it]\n 72%|███████▏ | 36/50 [00:45<00:17, 1.27s/it]\n 74%|███████▍ | 37/50 [00:46<00:16, 1.28s/it]\n 76%|███████▌ | 38/50 [00:48<00:15, 1.28s/it]\n 78%|███████▊ | 39/50 [00:49<00:14, 1.27s/it]\n 80%|████████ | 40/50 [00:50<00:12, 1.27s/it]\n 82%|████████▏ | 41/50 [00:52<00:11, 1.27s/it]\n 84%|████████▍ | 42/50 [00:53<00:10, 1.27s/it]\n 86%|████████▌ | 43/50 [00:54<00:08, 1.27s/it]\n 88%|████████▊ | 44/50 [00:55<00:07, 1.27s/it]\n 90%|█████████ | 45/50 [00:57<00:06, 1.27s/it]\n 92%|█████████▏| 46/50 [00:58<00:05, 1.27s/it]\n 94%|█████████▍| 47/50 [00:59<00:03, 1.27s/it]\n 96%|█████████▌| 48/50 [01:00<00:02, 1.28s/it]\n 98%|█████████▊| 49/50 [01:02<00:01, 1.27s/it]\n100%|██████████| 50/50 [01:03<00:00, 1.27s/it]\n100%|██████████| 50/50 [01:03<00:00, 1.27s/it]", "metrics": { "predict_time": 66.950128921, "total_time": 66.956774 }, "output": [ "https://replicate.delivery/yhqm/v4YUtdIDEjpRI1YiL8GqEqNh8mHPqbF0nXjS557afges6vtTA/out-0.webp", "https://replicate.delivery/yhqm/yJLcodIph6I5NBA8vdrWfCAaGhuJabHdN9N5bQpxedBs6vtTA/out-1.webp", "https://replicate.delivery/yhqm/3Qje2umcTM0lWq8tve8YVPJMwe1Fku5uehttnZT9GqdxqftdC/out-2.webp", "https://replicate.delivery/yhqm/3futO9A7bUwtGqErupfOsdpE0CKN4Kpupwx8mvEbKB4s6vtTA/out-3.webp" ], "started_at": "2024-11-04T22:36:25.951645Z", "status": "succeeded", "urls": { "stream": "https://stream.replicate.com/v1/files/wcdb-nwubgkaogsllllvv6jiukw37de5puzp5msr4efpmkzxobvm65i4a", "get": "https://api.replicate.com/v1/predictions/tje6m23xv5rm60cjz59b66mf7m", "cancel": "https://api.replicate.com/v1/predictions/tje6m23xv5rm60cjz59b66mf7m/cancel" }, "version": "bf772d87d563c647335dd4bdf50ca56ee5ced4fe55bf0e8ed3d7f874303ae688" }Generated inUsing seed: 38195 Prompt: An open book on a glass table displays dense text on the left page and a black and white portrait of a young woman wearing an breathtaking elegant royal dress on the right page. [!] txt2img mode Using dev model free=6519525326848 Downloading weights 2024-11-04T22:36:25Z | INFO | [ Initiating ] chunk_size=150M dest=/tmp/tmpa7pwlivz/weights url=https://replicate.delivery/yhqm/wtXcKcWjsU6cOp1w1M0S5Pa3xxgzfXymMQmF8n3T7NmCz1pJA/trained_model.tar 2024-11-04T22:36:27Z | INFO | [ Complete ] dest=/tmp/tmpa7pwlivz/weights size="172 MB" total_elapsed=1.471s url=https://replicate.delivery/yhqm/wtXcKcWjsU6cOp1w1M0S5Pa3xxgzfXymMQmF8n3T7NmCz1pJA/trained_model.tar Downloaded weights in 1.50s Loaded LoRAs in 2.21s 0%| | 0/50 [00:00<?, ?it/s] 2%|▏ | 1/50 [00:01<01:02, 1.27s/it] 4%|▍ | 2/50 [00:02<00:55, 1.15s/it] 6%|▌ | 3/50 [00:03<00:56, 1.21s/it] 8%|▊ | 4/50 [00:04<00:56, 1.23s/it] 10%|█ | 5/50 [00:06<00:56, 1.25s/it] 12%|█▏ | 6/50 [00:07<00:55, 1.26s/it] 14%|█▍ | 7/50 [00:08<00:54, 1.26s/it] 16%|█▌ | 8/50 [00:09<00:53, 1.27s/it] 18%|█▊ | 9/50 [00:11<00:51, 1.27s/it] 20%|██ | 10/50 [00:12<00:50, 1.27s/it] 22%|██▏ | 11/50 [00:13<00:49, 1.27s/it] 24%|██▍ | 12/50 [00:15<00:48, 1.27s/it] 26%|██▌ | 13/50 [00:16<00:47, 1.27s/it] 28%|██▊ | 14/50 [00:17<00:45, 1.27s/it] 30%|███ | 15/50 [00:18<00:44, 1.27s/it] 32%|███▏ | 16/50 [00:20<00:43, 1.27s/it] 34%|███▍ | 17/50 [00:21<00:42, 1.27s/it] 36%|███▌ | 18/50 [00:22<00:40, 1.27s/it] 38%|███▊ | 19/50 [00:23<00:39, 1.27s/it] 40%|████ | 20/50 [00:25<00:38, 1.27s/it] 42%|████▏ | 21/50 [00:26<00:36, 1.27s/it] 44%|████▍ | 22/50 [00:27<00:35, 1.27s/it] 46%|████▌ | 23/50 [00:29<00:34, 1.27s/it] 48%|████▊ | 24/50 [00:30<00:33, 1.27s/it] 50%|█████ | 25/50 [00:31<00:31, 1.27s/it] 52%|█████▏ | 26/50 [00:32<00:30, 1.27s/it] 54%|█████▍ | 27/50 [00:34<00:29, 1.27s/it] 56%|█████▌ | 28/50 [00:35<00:28, 1.27s/it] 58%|█████▊ | 29/50 [00:36<00:26, 1.27s/it] 60%|██████ | 30/50 [00:38<00:25, 1.27s/it] 62%|██████▏ | 31/50 [00:39<00:24, 1.27s/it] 64%|██████▍ | 32/50 [00:40<00:22, 1.27s/it] 66%|██████▌ | 33/50 [00:41<00:21, 1.27s/it] 68%|██████▊ | 34/50 [00:43<00:20, 1.27s/it] 70%|███████ | 35/50 [00:44<00:19, 1.27s/it] 72%|███████▏ | 36/50 [00:45<00:17, 1.27s/it] 74%|███████▍ | 37/50 [00:46<00:16, 1.28s/it] 76%|███████▌ | 38/50 [00:48<00:15, 1.28s/it] 78%|███████▊ | 39/50 [00:49<00:14, 1.27s/it] 80%|████████ | 40/50 [00:50<00:12, 1.27s/it] 82%|████████▏ | 41/50 [00:52<00:11, 1.27s/it] 84%|████████▍ | 42/50 [00:53<00:10, 1.27s/it] 86%|████████▌ | 43/50 [00:54<00:08, 1.27s/it] 88%|████████▊ | 44/50 [00:55<00:07, 1.27s/it] 90%|█████████ | 45/50 [00:57<00:06, 1.27s/it] 92%|█████████▏| 46/50 [00:58<00:05, 1.27s/it] 94%|█████████▍| 47/50 [00:59<00:03, 1.27s/it] 96%|█████████▌| 48/50 [01:00<00:02, 1.28s/it] 98%|█████████▊| 49/50 [01:02<00:01, 1.27s/it] 100%|██████████| 50/50 [01:03<00:00, 1.27s/it] 100%|██████████| 50/50 [01:03<00:00, 1.27s/it]
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